EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS 2025, Vol. 18, Issue 2, Article Number 5928 ISSN 1307-5543 – ejpam.com Published by New York Business Global Bipolar Soft Minimal Structures Ramadhan A. Mohammed Department of Mathematics, College of Basic Education, University of Duhok, Duhok-42001, Iraq Abstract. The purpose of this paper is to introduce a new structure of bipolar soft topology called bipolar soft minimal structure. Later, we present most important operators in bipolar soft minimal spaces such as ˜̃m-interior, ˜̃m-closure and ˜̃m-boundary. Moreover, we define ˜̃m-separated bipolar soft sets and bipolar soft ˜̃m-connected sets. Furthermore, we introduce a new concept of bipolar soft minimal spaces called bipolar soft minimal connected. We prove that the bipolar soft intersection of a pair of bipolar soft ˜̃m-connected spaces over the common universal set is a bipolar soft ˜̃m-connected space. In addition, we show that bipolar soft ˜̃m-connected space is not a bipolar soft ˜̃m-hereditary property. Also, we discuss some relations, properties and results of these new concepts of bipolar soft minimal spaces. Finally, some counterexamples are provided. 2020 Mathematics Subject Classifications: 03E75, 54D05, 54A05 Key Words and Phrases: Soft set, bipolar soft set, bipolar soft minimal space, ˜̃m-separated bipolar soft set, bipolar soft minimal connected set (space) 1. Introduction Soft set theory, introduced by Molodtsov [1] in 1999, provides a versatile mathematical framework for handling uncertainty, imprecision, and vagueness in data. Unlike classical set theory, which struggles with uncertainty in decision-making processes, soft set theory offers a more flexible approach by associating parameters with elements, allowing for more nuanced information representation. This adaptability makes soft sets highly applicable in areas such as decision-making, data analysis, engineering, and artificial intelligence, where handling imprecise or incomplete information is critical. Soft set theory’s strength lies in its simplicity and generality, as it does not require the strict mathematical constraints of other uncertainty models like fuzzy sets or rough sets. It has been successfully applied to a wide range of disciplines, including medical diagnosis, economics, social sciences, and optimization problems. Researchers have extended soft set theory by redefining operations, introducing new concepts, and developing hybrid approaches that combine soft sets with other mathematical frameworks to solve complex real-world problems. Other researchers, DOI: https://doi.org/10.29020/nybg.ejpam.v18i2.5928 Email address: ramadhan.hajani@uod.ac (R. A. Mohammed) https://www.ejpam.com 1 Copyright: © 2025 The Author(s). (CC BY-NC 4.0) R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 2 of 26 like Maji et al. [2], have contributed by refining operations within soft sets, and Çaǧman and Enginoğlu [3] later redefined these operations to create a uni-int decision-making method. Aktas and Çağman [4] compared soft sets with fuzzy and rough sets. Many researchers have since explored properties and applications of soft set theory (see [5], [6], [7], [8], [9], [10], [11], [12], [13]). Building on soft set theory, the concept of soft topology emerged as a new field of study to address topological structures within the framework of soft sets. Soft topology, first introduced by Shabir and Naz [14] in 2011, provides a topological structure by defining open and closed sets in terms of soft sets. Çaǧman [15] further developed this notion. This new form of topology has led to the exploration of various properties and concepts, such as soft open sets, soft continuity, and soft compactness, within a soft set framework. Soft topological spaces extend classical topology and have been applied in fields like decision- making, optimization, and computer science, providing a robust tool for analyzing spaces with uncertain or imprecise boundaries. Over time, researchers have refined and expanded the theory, introducing concepts such as soft minimal spaces and bipolar soft sets, allowing for even greater flexibility in addressing uncertainty in topological and decision-making processes. Numerous studies have since examined soft topological spaces, their properties, and their applications (see [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [14]). Thomas and John [27] expanded on this with the idea of soft minimal spaces (smss), examining characteristics like compactness and separation axioms. Bipolar soft set theory, an extension of soft set theory, was developed to handle situa- tions where uncertainty arises from two opposing perspectives, often referred to as ”pos- itive” and ”negative” information. Introduced by Shabir and Naz [28] in 2013, bipolar soft sets generalize the classical soft set by associating each parameter with two sets: one representing positive attributes and the other negative attributes. This dual representa- tion makes bipolar soft sets particularly useful in decision-making processes where both favorable and unfavorable factors must be considered simultaneously. Bipolar soft set the- ory addresses limitations in traditional soft sets by capturing the bipolarity often present in real-world problems, such as preferences, opinions, and criteria that involve both pros and cons. This model has found applications in various fields, including decision analysis, medical diagnosis, and social sciences, where handling conflicting or dual-sided informa- tion is critical. Subsequent researchers, including Karaaslan and Karatas [29], explored operations like intersection, union, and complementation within bipolar soft sets, focusing on decision-making applications. Several studies have explored definitions, operations, and applications of bipolar soft sets (see [30], [31], [32]). Bipolar soft topology builds on the foundation of bipolar soft set theory, introduc- ing a topological framework that accommodates both positive and negative aspects of a given space. This concept allows for the study of topological properties such as continuity, compactness, and separation in a bipolar soft set context. By extending soft topologi- cal spaces to incorporate bipolarity, researchers have created a flexible tool for analyzing spaces characterized by dual information. The development of bipolar soft topological spaces has sparked further exploration into concepts like bipolar soft open and closed sets, bipolar soft continuity, and bipolar soft compactness. These advancements allow for a R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 3 of 26 more nuanced understanding of topological structures where both positive and negative relationships between elements must be considered. Bipolar soft topology has potential applications in optimization, decision-making, and other areas where the interaction of opposing factors plays a key role. Further developments have expanded on bipolar soft topological spaces. Moreover, additional research has been conducted on the topological structures of bipolar soft sets, (see [33], [34], [35], [36], [37], [38], [39], [40], [41]). Fur- thermore, Öztürk [42] investigated closure and interior operations, as well as concepts like basis and subspaces within bipolar soft topological spaces. Musa and Asaad ([43], [44], [45]) presented a novel concept related to bipolar soft sets by extending the hypersoft sets. Additionally, they explored bipolar hypersoft topological spaces, examining various operations and properties associated with them. The structure of the paper is as follows: Section 2 provides a brief overview of some relevant preliminaries. In Section 3, the new structure of bipolar soft topology, referred to as the bipolar soft minimal structure, is introduced. Additionally, important operators in bipolar soft minimal spaces, such as the ˜̃m-interior, ˜̃m-closure, and ˜̃m-boundary, are explored. Section 4 presents the concepts of ˜̃m-separated bipolar soft sets and bipolar soft˜̃m-connected sets, along with their key properties. In Section 5, a new concept of bipolar soft minimal spaces called bipolar soft minimal connected spaces is defined. It is also proven that the intersection of a pair of bipolar soft ˜̃m-connected spaces over the common universal set results bipolar soft ˜̃m-connected. Furthermore, it is shown that a bipolar soft˜̃m-connected space does not possess the ˜̃m-hereditary property. Finally, Section 5 discusses various relations, properties, and examples of these new concepts of bipolar soft minimal spaces and concludes the paper. 2. Preliminaries Throughout this paper, let Π be an initial universe and Σ(Π) be the class of all subsets of Π. Let a nonempty set Γ be an entire set of parameters and let µ, ν ⊆ Γ. This section introduces some main notions and definitions on bipolar soft sets. Definition 1. [2] Let be a set of parameters. The Not set of the set µ = {ϑ1, ϑ2, ..., ϑn} is denoted by ¬µ = {¬ϑ1,¬ϑ2, ...,¬ϑn} for all i. That is, ¬ϑi = Not ϑi. Definition 2. [28] A 3-tuple (λ̈, ζ̈, µ) is named a bipolar soft (bs) set on Π, where λ̈ : µ −→ Σ(Π) is a mapping and ζ̈ : ¬µ −→ Σ(Π) is a mapping s. t. λ̈(ϑ) ∩ ζ̈(¬ϑ) = ϕ for each ϑ ∈ µ and ¬ϑ ∈ ¬µ. That means, a form of a bs set (λ̈, ζ̈, µ) is: (λ̈, ζ̈, µ) = {(ϑ, λ̈(ϑ), ζ̈(¬ϑ)) : ϑ ∈ µ, λ̈(ϑ) ∩ ζ̈(¬ϑ) = ϕ}. The class of all bipolar soft sets over Π along with Γ is denoted by bss(Π). Definition 3. [28] A null bs set (Φ, ˜̃ Π, µ) is a bs set (λ̈, ζ̈, µ) if λ̈(ϑ) = ϕ for each ϑ ∈ µ and ζ̈(¬ϑ) = Π for each ¬ϑ ∈ ¬µ. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 4 of 26 Definition 4. [28] A absolute bs set ( ˜̃ Π,Φ, µ) is a bs set (λ̈, ζ̈, µ) if λ̈(ϑ) = Π for all ϑ ∈ µ and ζ̈(¬ϑ) = ϕ for all ¬ϑ ∈ ¬µ. Definition 5. [28] Given two bs sets (λ̈1, ζ̈1, µ) and (λ̈2, ζ̈2, ν). Then (λ̈1, ζ̈1, µ) is a bs subset of (λ̈2, ζ̈2, ν), written as (λ̈1, ζ̈1, µ) ˜̃⊆(λ̈2, ζ̈2, µ), if: (i) µ ⊆ ν and, (ii) λ̈1(ϑ) ⊆ λ̈2(ϑ) and ζ̈2(¬ϑ) ⊆ ζ̈1(¬ϑ) for all ϑ ∈ µ and ¬ϑ ∈ ¬µ. Definition 6. [28] Two bs sets (λ̈1, ζ̈1, µ) and (λ̈2, ζ̈2, ν) are said to be equal, written as (λ̈1, ζ̈1, µ) = (λ̈2, ζ̈2, ν) if (λ̈1, ζ̈1, µ) is a bs subset of (λ̈2, ζ̈2, ν) and (λ̈2, ζ̈2, ν) is a bs subset of (λ̈1, ζ̈1, µ). Definition 7. [28] The complement of a bs set (λ̈, ζ̈, µ) is denoted by (λ̈, ζ̈, µ)c and de- fined by (λ̈, ζ̈, µ)c=(λ̈c, ζ̈c, µ) where λ̈c and ζ̈c are mappings given by λ̈c(ϑ) = ζ̈(¬ϑ) and ζ̈c(¬ϑ) = λ̈(ϑ) for all ϑ ∈ µ and ¬ϑ ∈ ¬µ. Definition 8. [28] The bs extended intersection between two bs sets (λ̈1, ζ̈1, µ) and (λ̈2, ζ̈2, ν) is the bs set (ξ, η, α) where α = µ ∪ ν and for each ϑ ∈ α, ξ(ϑ) =  λ̈1(ϑ), ϑ ∈ µ− ν, λ̈2(ϑ), ϑ ∈ ν − µ, λ̈1(ϑ) ∩ λ̈2(ϑ), ϑ ∈ µ ∩ ν. η(¬ϑ) =  ζ̈1(¬ϑ), ¬ϑ ∈ ¬µ− ¬ν, ζ̈2(¬ϑ), ¬ϑ ∈ ¬ν − ¬µ, ζ̈1(¬ϑ) ∪ ζ̈2(¬ϑ), ¬ϑ ∈ ¬µ ∩ ¬ν. It represents by (λ̈1, ζ̈1, µ) ˜̃∩ (λ̈2, ζ̈2, ν) = (ξ, η, α). Definition 9. [28] The bs intersection between two bs sets (λ̈1, ζ̈1, µ) and (λ̈2, ζ̈2, ν) is the bs set (ξ, η, α) where α = µ ∩ ν ̸= ϕ and for all ϑ ∈ α, ξ(ϑ) = λ̈1(ϑ) ∩ λ̈2(e) and η(¬ϑ) = ζ̈1(¬ϑ) ∪ ζ̈2(¬ϑ). It represents by (λ̈1, ζ̈1, µ) ˜̃∩ (λ̈2, ζ̈2, ν) = (ξ, η, α). Definition 10. [28] The bs union between two bs sets (λ̈1, ζ̈1, µ) and (λ̈2, ζ̈2, ν) is the bs set (ξ, η, κ) where κ = µ ∪ ν and for all ϑ ∈ κ, ξ(ϑ) =  λ̈1(ϑ), ϑ ∈ µ− ν, λ̈2(ϑ), ϑ ∈ ν − µ, λ̈1(ϑ) ∪ λ̈2(ϑ), ϑ ∈ µ ∩ ν ̸= ϕ. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 5 of 26 η(¬ϑ) =  ζ̈1(¬ϑ), ¬ϑ ∈ ¬µ− ¬ν, ζ̈2(¬ϑ), ¬ϑ ∈ ¬ν − ¬µ, ζ̈1(¬ϑ) ∩ ζ̈2(¬ϑ), ¬ϑ ∈ ¬µ ∩ ¬ν ̸= ϕ. It represents by (λ̈1, ζ̈1, µ) ˜̃∪ (λ̈2, ζ̈2, ν) = (ξ, η, α). Definition 11. [28] The bs extended union between two bs sets (λ̈1, ζ̈1, µ) and (λ̈2, ζ̈2, ν) is the bs set (ξ, η, α) where α = µ ∩ ν ̸= ϕ and for all ϑ ∈ α, ξ(ϑ) = λ̈1(ϑ) ∪ λ̈2(ϑ) and η(¬ϑ) = ζ̈1(¬ϑ) ∩ ζ̈2(¬ϑ). It represents by (λ̈1, ζ̈1, µ) ˜̃∪ (λ̈2, ζ̈2, ν) = (ξ, η, α). Proposition 1. [28] If (λ̈1, ζ̈1, µ),(λ̈2, ζ̈2, ν) ˜̃∈ bss(Π), then: (i) ((λ̈1, ζ̈1, µ) ˜̃∪ (λ̈2, ζ̈2, ν)) c = (λ̈1, ζ̈1, µ) c ˜̃∩ (λ̈2, ζ̈2, ν) c. (ii) ((λ̈1, ζ̈1, µ) ˜̃∩ (λ̈2, ζ̈2, ν)) c = (λ̈1, ζ̈1, µ) c ˜̃∪ (λ̈2, ζ̈2, ν) c. (iii) ((λ̈1, ζ̈1, µ) c)c = (λ̈1, ζ̈1, µ). (iv) (Φ, ˜̃ Π, µ) ˜̃⊆ (λ̈1, ζ̈1, µ) ˜̃∩ (λ̈2, ζ̈2, ν) c ˜̃⊆ (λ̈1, ζ̈1, µ) ˜̃∪ (λ̈2, ζ̈2, ν) c ˜̃⊆ ( ˜̃ Π,Φ, µ). Definition 12. [34] The bs difference between two bs sets (λ̈1, ζ̈1, µ) and (λ̈2, ζ̈2, ν) is the bs set (λ̈, ζ̈, κ) where κ = µ ∪ ν is defined as (λ̈1, ζ̈1, µ) ˜̃\ (λ̈2, ζ̈2, ν) = (λ̈1, ζ̈1, µ) ˜̃∩ (λ̈2, ζ̈2, ν) c. Definition 13. [32] Let (ζ̈, λ̈, µ) be a bs set over Π. The bs set (ζ̈, λ̈, µ) is named a bs point (bsp) if there is α, β ∈ Π, ϑ ∈ µ and ¬ϑ ∈ ¬µ s. t. ζ̈(δ) = { {α}, δ = ϑ, ϕ, δ ∈ µ \ {ϑ}. λ̈(δ′) = { Π \ {α, β}, δ′ = ¬ϑ, Π, δ′ ∈ ¬µ \ {¬ϑ}. We denoted the bs point (ζ̈, λ̈, µ) by αϑ β, and bsp(Π)(µ,¬µ) is denoted by the class of all bsps over Π by . Proposition 2. [41] Let (λ̈, ζ̈, µ) ˜̃∈ bss(Π). Then (i) (λ̈, ζ̈, µ) ˜̃∪ (λ̈, ζ̈, µ)c = (ξ,Φ, µ), where ξ(ϑ) = λ̈(ϑ) ∪ λ̈c(ϑ) ⊆ Π for each ϑ ∈ µ and Φ(¬ϑ) = ζ̈(¬ϑ) ∩ ζ̈c(¬ϑ) = ϕ for each ¬ϑ ∈ ¬µ. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 6 of 26 (ii) (λ̈, ζ̈, µ) ˜̃∩ (λ̈, ζ̈, µ)c = (Φ, η, µ), where Φ(ϑ) = λ̈(ϑ) ∩ λ̈c(ϑ) = ϕ for each ϑ ∈ µ and η(¬ϑ) = ζ̈(¬ϑ) ∪ ζ̈c(¬ϑ) ⊆ Π for each ¬ϑ ∈ ¬µ. Further (λ̈, ζ̈, µ), (λ̈, ζ̈, µ)c will always satisfy λ̈(ϑ) ∪ λ̈c(ϑ) = ζ̈(¬ϑ) ∪ ζ̈c(¬ϑ) for all ϑ ∈ µ. (iii) (λ̈, ζ̈, µ) ˜̃∪ ( ˜̃ Π,Φ, µ) = ( ˜̃ Π,Φ, µ) and (λ̈, ζ̈, µ) ˜̃∩ ( ˜̃ Π,Φ, µ) = (λ̈, ζ̈, µ). Definition 14. A class m̃ of soft sets of Π is said to be soft minimal topology m̃ on Π if (Φ, µ) ∈̃ m̃ and ( ˜̃ Π, µ) ∈̃ m̃. The triple (Π, m̃, µ) is said to be a soft minimal space (sms) over Π. The members of m̃ are called soft m̃-open sets. The complement of soft m̃-open sets are soft m̃-closed. 3. Bipolar Soft Minimal Structures This section presents a new structure of bipolar soft topology called bipolar soft min- imal structure. It presents some notions and properties of bipolar soft minimal structure. Definition 15. A class ˜̃m of bs sets over Π with respect to Γ is said to be a bipolar soft minimal structure if (Φ, ˜̃ Π, µ) ˜̃∈ ˜̃m and ( ˜̃ Π,Φ, µ) ˜̃∈ ˜̃m. The quadruple (Π, ˜̃m, µ,¬µ) is called a bipolar soft minimal space (bsms). Every mem- ber of ˜̃m is called a ˜̃m-open set in Π. The bs complement of a ˜̃m-open set is said to be˜̃m-closed. Theorem 1. If (Π, ˜̃m, µ,¬µ) is a bsms, then m̃ = {(λ̈, µ) : (λ̈, ζ̈, µ) ˜̃∈ ˜̃m} is sms. Proof. Assume that (Π, ˜̃m, µ,¬µ) is bsms. Then (Φ, ˜̃ Π, µ) ˜̃∈ ˜̃m and ( ˜̃ Π,Φ, µ) ˜̃∈ ˜̃m. This implies that (Φ, µ) ∈̃ m̃ and ( ˜̃ Π, µ) ∈̃ m̃. Hence m̃ defines a sms. The converse of Theorem 1 is not correct as in the next example. Example 1. Let Π = {ϵ1, ϵ2, ϵ3} and µ = {ϑ}. Suppose that ˜̃m = {(Φ, ζ̈, µ), ( ˜̃Π,Φ, µ)}, where (Φ, ζ̈, µ) is a bs set defined as follows (Φ, ζ̈, µ) = {(ϑ, ϕ, {ϵ1, ϵ2}). Then m̃ = {(Φ, µ), ( ˜̃Π, µ)} is sms defined on Π. Meanwhile, ˜̃m is not bsms. Theorem 2. Let (Π, ˜̃m, µ,¬µ) be a bsms, then ¬m̃ = {(ζ̈,¬µ) : (λ̈, ζ̈, µ) ˜̃∈ ˜̃m} is sms. Proof. Similar to Theorem 1. The converse of Theorem 2 is not correct as in the next example. Example 2. Let Π = {ϵ1, ϵ2, ϵ3} and µ = {ϑ}. Suppose that ˜̃m = {(ζ̈,Φ, µ), (Φ, ˜̃Π, µ)}, where (ζ̈,Φ, µ) is a bs set defined as follows (ζ̈,Φ, µ) = {(ϑ, {ϵ1}, ϕ)}. Then ¬m̃ = {(Φ, µ), ( ˜̃Π, µ)} is sms defined on Π. Meanwhile, ˜̃m is not bsms. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 7 of 26 Definition 16. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ) ˜̃∈ bss(Π). The ˜̃m-interior of (λ̈, ζ̈, µ) is the bs union of all ˜̃m-open subsets of (λ̈, ζ̈, µ) and it is denoted by ˜̃mInt(λ̈, ζ̈, µ). Properties of ˜̃mInt(λ̈, ζ̈, µ) are as follows. Theorem 3. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ),(λ̈1, ζ̈1, µ) ˜̃∈ bss(Π). Then (i) ˜̃mInt (Φ, ˜̃ Π, µ) = (Φ, ˜̃ Π, µ) and ˜̃mInt ( ˜̃ Π,Φ, µ) = ( ˜̃ Π,Φ, µ). (ii) ˜̃mInt(λ̈, ζ̈, µ) ˜̃⊆ (λ̈, ζ̈, µ). (iii) If (λ̈, ζ̈, µ) is ˜̃m-open, then ˜̃mInt(λ̈, ζ̈, µ) = (λ̈, ζ̈, µ). (iv) ˜̃mInt( ˜̃mInt(λ̈, ζ̈, µ)) = ˜̃mInt(λ̈, ζ̈, µ). (v) If (λ̈, ζ̈, µ) ˜̃⊆ (λ̈1, ζ̈1, µ), then ˜̃mInt(λ̈, ζ̈, µ) ˜̃⊆ ˜̃mInt(λ̈1, ζ̈1, µ). (vi) ˜̃mInt((λ̈, ζ̈, µ) ˜̃∩ (λ̈1, ζ̈1, µ)) ˜̃⊆ ˜̃mInt(λ̈, ζ̈, µ) ˜̃∩ ˜̃mInt(λ̈1, ζ̈1, µ). (vii) ˜̃mInt((λ̈, ζ̈, µ) ˜̃∪ (λ̈1, ζ̈1, µ)) ˜̃⊇ ˜̃mInt(λ̈, ζ̈, µ) ˜̃∪ ˜̃mInt(λ̈1, ζ̈1, µ). Proof. (i), (iv), (v), (vi) and (vii) Obvious. (ii) Since ˜̃mInt(λ̈, ζ̈, µ) = ˜̃⋃{(λ̈j , ζ̈j , µ) : (λ̈j , ζ̈j , µ) ˜̃∈ ˜̃m, (λ̈j , ζ̈j , µ) ˜̃⊆ (λ̈, ζ̈, µ), j ∈ J }. Then λ̈j(ϑ) ⊆ λ̈(ϑ) and ζ̈(¬ϑ) ⊆ ζ̈j(¬ϑ) for all j ∈ J . So, ⋃ j∈J λ̈j(ϑ) ⊆ λ̈(ϑ) and ζ̈(¬ϑ) ⊆ ⋂ j∈J ζ̈j(¬ϑ). Therefore, ˜̃mInt (λ̈, ζ̈, µ) ˜̃⊆ (λ̈, ζ̈, µ). (iii) Let (λ̈, ζ̈, µ) be a ˜̃m-open set. Then (λ̈, ζ̈, µ) is the bs union of all ˜̃m-open sets of (λ̈, ζ̈, µ). From (ii), we have ˜̃mInt (λ̈, ζ̈, µ) ˜̃⊆ (λ̈, ζ̈, µ). Therefore, ˜̃mInt (λ̈, ζ̈, µ) = (λ̈, ζ̈, µ). The converse of point (iii) in Theorem 3 is not true in general and the equality of parts (vi) and (vii) in Theorem 3 do not hold as shown in the example below. Example 3. Let Π = {ϵ1, ϵ2, ϵ3}, µ = {ϑ} and˜̃m = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ), (λ̈1, ζ̈1, µ), (λ̈2, ζ̈2, µ), (λ̈3, ζ̈3, µ)}, where (λ̈1, ζ̈1, µ) = {(ϑ, {ϵ1}, {ϵ2})}, (λ̈2, ζ̈2, µ) = {(ϑ, {ϵ1}, {ϵ3})}, (λ̈3, ζ̈3, µ) = {(ϑ, {ϵ2}, {ϵ1})}. For the converse of point (iii), let (λ̈, ζ̈, µ) = {(ϑ, {ϵ1}, ϕ)}, then˜̃mInt(λ̈, ζ̈, µ) = ˜̃mInt{(ϑ, {ϵ1}, ϕ)} = {(ϑ, {ϵ1}, ϕ)}. But (λ̈, ζ̈, µ) is not ˜̃m-open. For the equality of parts (vi) and (vii), if we take (ξ1, η1, µ) = {(ϑ, {ϵ1, ϵ2}, {ϵ3})} and (ξ2, η2, µ) = {(ϑ, {ϵ1, ϵ3}, {ϵ2})}. Then, ˜̃mInt(ξ1, η1, µ) = (λ̈2, ζ̈2, µ) and ˜̃mInt(ξ2, η2, µ) = (λ̈1, ζ̈1, µ). R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 8 of 26 Thus, ˜̃mInt(ξ1, η1, µ) ˜̃∩ ˜̃mInt(ξ2, η2, µ) = {(ϑ, {ϵ1}, {ϵ2, ϵ3})}. Also, ˜̃mInt((ξ1, η1, µ) ˜̃∩ (ξ2, η2, µ)) = ˜̃mInt{(ϑ, {ϵ1}, {ϵ2, ϵ3})} = (Φ, ˜̃ Π, µ). Therefore, ˜̃mInt(ξ1, η1, µ) ˜̃∩ ˜̃mInt(ξ2, η2, µ) ̸= ˜̃mInt((ξ1, η1, µ) ˜̃∩ (ξ2, η2, µ)). Now, ˜̃mInt(ξ1, η1, µ) ˜̃∪ ˜̃mInt(ξ2, η2, µ) = {(ϑ, {ϵ1}, ϕ)}. Also, ˜̃mInt((ξ1, η1, µ) ˜̃∪ (ξ2, η2, µ)) = ˜̃mInt( ˜̃ Π,Φ, µ) = ( ˜̃ Π,Φ, µ). So, ˜̃mInt ((ξ1, η1, µ) ˜̃∪ (ξ2, η2, µ)) ̸= ˜̃mInt(ξ1, η1, µ) ˜̃∪ ˜̃mInt(ξ2, η2, µ). Definition 17. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ) ˜̃∈ bss(Π). Then the ˜̃m-closure of (λ̈, ζ̈, µ) is the bs intersection of all ˜̃m-closed sets containing (λ̈, ζ̈, µ) and it is denoted by ˜̃mCl(λ̈, ζ̈, µ). Properties of ˜̃mCl(λ̈, ζ̈, µ) are as follows. Theorem 4. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ), (λ̈1, ζ̈1, µ) ˜̃∈ bss(Π). Then (i) ˜̃mCl(Φ, ˜̃ Π, µ) = (Φ, ˜̃ Π, µ) and ˜̃mCl( ˜̃ Π,Φ, µ) = ( ˜̃ Π,Φ, µ). (ii) (λ̈, ζ̈, µ) ˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ). (iii) If (λ̈, ζ̈, µ) is ˜̃m-closed, then ˜̃mCl(λ̈, ζ̈, µ) = (λ̈, ζ̈, µ). (iv) ˜̃mCl( ˜̃mCl(λ̈, ζ̈, µ)) = ˜̃mCl(λ̈, ζ̈, µ). (v) If (λ̈, ζ̈, µ) ˜̃⊆(λ̈1, ζ̈1, µ), then ˜̃mCl(λ̈, ζ̈, µ) ˜̃⊆ ˜̃mCl(λ̈1, ζ̈1, µ). (vi) ˜̃mCl((λ̈, ζ̈, µ)˜̃∩ (λ̈1, ζ̈1, µ)) ˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ) ˜̃∩ ˜̃mCl(λ̈1, ζ̈1, µ). (vii) ˜̃mCl((λ̈, ζ̈, µ) ˜̃∪ (λ̈1, ζ̈1, µ) ˜̃⊇ ˜̃mCl(λ̈, ζ̈, µ) ˜̃∪ ˜̃mCl(λ̈1, ζ̈1, µ). Proof. (i), (iv), (v), (vi) and (vii) Obvious. (ii) Since ˜̃mCl(λ̈, ζ̈, µ) = ˜̃⋂{(λ̈i, ζ̈i, µ) : (λ̈i, ζ̈i, µ) c ˜̃∈ ˜̃m, (λ̈, ζ̈, µ) ˜̃⊆ (λ̈i, ζ̈i, µ), i ∈ I}. Then λ̈(ϑ) ⊆ λ̈i(ϑ) and ζ̈i(¬ϑ) ⊆ ζ̈(¬ϑ) for all i ∈ I. So, λ̈(ϑ) ⊆ ⋂ i∈I ζ̈i(ϑ) and ⋃ i∈I ζ̈i(¬ϑ) ⊆ ζ̈(¬ϑ). Thus, (λ̈, ζ̈, µ) ˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ). (iii) Let (λ̈, ζ̈, µ) be a ˜̃m-closed set. Then (λ̈, ζ̈, µ) is the bs intersection of all ˜̃m-closed sets containing (λ̈, ζ̈, µ). From (ii), we have (λ̈, ζ̈, µ) ˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ). Therefore, ˜̃mCl(λ̈, ζ̈, µ) = (λ̈, ζ̈, µ). The converse of point (iii) in Theorem 4 is not true in general and the equality of parts (vi) and (vii) in Theorem 4 do not hold as shown in the example below. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 9 of 26 Example 4. Let Π = {ϵ1, ϵ2, ϵ3}, µ = {ϑ} and˜̃m = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ), (λ̈1, ζ̈1, µ), (λ̈2, ζ̈2, µ), (λ̈3, ζ̈3, µ)}, where (λ̈1, ζ̈1, µ) = {(ϑ, {ϵ1, ϵ2}, {ϵ3})}, (λ̈2, ζ̈2, µ) = {(ϑ, {ϵ2, ϵ3}, {ϵ1})}, (λ̈3, ζ̈3, µ) = {(ϑ, {ϵ3}, {ϵ2})}. Then ˜̃m c = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ), (λ̈4, ζ̈4, µ), (λ̈5, ζ̈5, µ), (λ̈6, ζ̈6, µ)}, where (λ̈4, ζ̈4, µ) = (λ̈1, ζ̈1, µ) c = {(ϑ, {ϵ3}, {ϵ1, ϵ2})}, (λ̈5, ζ̈5, µ) = (λ̈2, ζ̈2, µ) c = {(ϑ, {ϵ1}, {ϵ2, ϵ3})}, (λ̈6, ζ̈6, µ) = (λ̈3, ζ̈3, µ) c = {(ϑ, {ϵ2}, {ϵ3})}. For the converse of point (iii), let (λ̈, ζ̈, µ) = {(ϑ, ϕ, {ϵ2, ϵ3})}, then˜̃mCl(λ̈, ζ̈, µ) = ˜̃mCl{(ϑ, ϕ, {ϵ2, ϵ3})} = {(ϑ, ϕ, {ϵ2, ϵ3})}. But (λ̈, ζ̈, µ) is not ˜̃m-closed. For the equality of parts (vi) and (vii), suppose that (ξ1, η1, µ) = {(ϑ, {ϵ3}, {ϵ2})}, (ξ2, η2, µ) = {(ϑ, {ϵ2}, {ϵ1, ϵ3})} and (ξ3, η3, µ) = (λ̈4, ζ̈4, µ). Then, ˜̃mCl(ξ1, η1, µ) = ( ˜̃ Π,Φ, µ), ˜̃mCl(ξ2, η2, µ) = (λ̈6, ζ̈6, µ) and ˜̃mCl(ξ3, η3, µ) = (λ̈4, ζ̈4, µ). Thus, ˜̃mCl(ξ1, η1, µ) ˜̃∩ ˜̃mCl(ξ2, η2, µ) = (λ̈6, ζ̈6, µ). Also, ˜̃mCl((ξ1, η1, µ) ˜̃∩ (ξ2, η2, µ)) = ˜̃mCl(Φ, ˜̃ Π, µ) = (Φ, ˜̃ Π, µ). Therefore, ˜̃mCl(ξ1, η1, µ) ˜̃∩ ˜̃mCl(ξ2, η2, µ) ̸= ˜̃mCl((ξ1, η1, µ) ˜̃∩ (ξ2, η2, µ)). Now, ˜̃mCl(ξ2, η2, µ) ˜̃∪ ˜̃mCl(ξ3, η3, µ) = {(ϑ, {ϵ2, ϵ3}, ϕ)}. Also, ˜̃mCl((ξ2, η2, µ) ˜̃∪ (ξ3, η3, µ)) = ˜̃mCl{(ϑ, {ϵ2, ϵ3}, {ϵ1})} = ( ˜̃ Π,Φ, µ). So, ˜̃mCl((ξ2, η2, µ) ˜̃∪ (ξ3, η3, µ)) ̸= ˜̃mCl(ξ2, η2, µ) ˜̃∪ ˜̃mCl(ξ3, η3, µ). Proposition 3. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ) ˜̃∈ bss(Π). Then˜̃mInt (λ̈, ζ̈, µ) ˜̃⊆ (λ̈, ζ̈, µ) ˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ). Proof. Follows directly from Theorem 3 (ii) and Theorem 4 (ii). Theorem 5. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ), ( ¨̈ λ1, ζ̈1, µ) ˜̃∈ bss(Π). Then (i) ˜̃mCl(λ̈, ζ̈, µ)c = ( ˜̃mInt (λ̈, ζ̈, µ))c. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 10 of 26 (ii) ˜̃mInt (λ̈, ζ̈, µ)c = ( ˜̃mCl(λ̈, ζ̈, µ))c. (iii) ˜̃mInt (λ̈, ζ̈, µ) = ( ˜̃mCl(λ̈, ζ̈, µ)c)c. (iv) ˜̃mCl(λ̈, ζ̈, µ) = ( ˜̃mInt (λ̈, ζ̈, µ)c)c. (v) ˜̃mInt ((λ̈, ζ̈, µ) ˜̃\ (λ̈1, ζ̈1, µ)) ˜̃⊆ ˜̃mInt (λ̈, ζ̈, µ) ˜̃\ ˜̃mInt (λ̈1, ζ̈1, µ). Proof. We prove the parts (i) and (v) because the proof of the remaining points are similar. (i) Since ( ˜̃mInt (λ̈, ζ̈, µ))c = ( ˜̃⋃{(λ̈i, ζ̈i, µ) : (λ̈i, ζ̈i, µ) ˜̃∈ ˜̃m, (λ̈i, ζ̈i, µ) ˜̃⊆ (λ̈, ζ̈, µ), i ∈ I})c = ˜̃⋂ {(λ̈i, ζ̈i, µ) c: (λ̈i, ζ̈i, µ) ˜̃∈ ˜̃m, (λ̈, ζ̈, µ)c ˜̃⊆ (λ̈i, ζ̈i, µ) c, i ∈ I} = ˜̃mCl(λ̈, ζ̈, µ)c. (v) Since ˜̃mInt ((λ̈, ζ̈, µ) ˜̃\(λ̈1, ζ̈1, µ)) = ˜̃mInt((λ̈, ζ̈, µ)˜̃∩ (λ̈1, ζ̈1, µ) c)˜̃⊆ ˜̃mInt (λ̈, ζ̈, µ)˜̃∩ ˜̃mInt (λ̈1, ζ̈1, µ) c (by Theorem 3(vi)) = ˜̃mInt (λ̈, ζ̈, µ) ˜̃∩( ˜̃mCl(λ̈1, ζ̈1, µ)) c ˜̃⊆ ˜̃mInt (λ̈, ζ̈, µ) ˜̃∩( ˜̃mInt (λ̈1, ζ̈1, µ)) c = ˜̃mInt (λ̈, ζ̈, µ) ˜̃\ ˜̃mInt (λ̈1, ζ̈1, µ). Definition 18. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ) ˜̃∈ bss(Π). Then the ˜̃m-boundary of (λ̈, ζ̈, µ), denoted by b˜̃m (λ̈, ζ̈, µ), is defined as b˜̃m (λ̈, ζ̈, µ) = ˜̃mCl(λ̈, ζ̈, µ) ˜̃∩ ˜̃mCl(λ̈, ζ̈, µ)c. Proposition 4. It is clear that b˜̃m (λ̈, ζ̈, µ) = b˜̃m (λ̈, ζ̈, µ)c. Proof. Follows directly from Definition 18. Theorem 6. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ) ˜̃∈ bss(Π). Then (i) b˜̃m (λ̈, ζ̈, µ) ˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ). (ii) (λ̈, ζ̈, µ) ˜̃∪ b˜̃m (λ̈, ζ̈, µ) ˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ). (iii) ˜̃mInt (λ̈, ζ̈, µ) ˜̃⊆ (λ̈, ζ̈, µ) ˜̃\ b˜̃m (λ̈, ζ̈, µ). (iv) b˜̃m( ˜̃mInt (λ̈, ζ̈, µ)) ˜̃⊆ b˜̃m(λ̈, ζ̈, µ). (v) b˜̃m( ˜̃mCl(λ̈, ζ̈, µ)) ˜̃⊆ b˜̃m(λ̈, ζ̈, µ). R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 11 of 26 Proof. (i) Since b˜̃m (λ̈, ζ̈, µ) = ˜̃mCl(λ̈, ζ̈, µ) ˜̃∩ ˜̃mCl(λ̈, ζ̈, µ)c. Then b˜̃m (λ̈, ζ̈, µ) ˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ). (ii) (λ̈, ζ̈, µ)˜̃∪ b˜̃m (λ̈, ζ̈, µ) = (λ̈, ζ̈, µ)˜̃∪ ( ˜̃mCl(λ̈, ζ̈, µ)˜̃∩ ˜̃mCl(λ̈, ζ̈, µ)c) = ((λ̈, ζ̈, µ)˜̃∪ ˜̃mCl(λ̈, ζ̈, µ))˜̃∩((λ̈, ζ̈, µ)˜̃∪ ˜̃mCl(λ̈, ζ̈, µ)c) = ˜̃mCl(λ̈, ζ̈, µ)˜̃∩((λ̈, ζ̈, µ)˜̃∪ ˜̃mCl(λ̈, ζ̈, µ)c)˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ). (iii) (λ̈, ζ̈, µ) ˜̃\b˜̃m (λ̈, ζ̈, µ) = (λ̈, ζ̈, µ)˜̃∩(b˜̃m (λ̈, ζ̈, µ))c = (λ̈, ζ̈, µ)˜̃∩( ˜̃mCl(λ̈, ζ̈, µ)˜̃∩ ˜̃mCl(λ̈, ζ̈, µ)c)c = (λ̈, ζ̈, µ)˜̃∩( ˜̃mInt (λ̈, ζ̈, µ)c ˜̃∪ ˜̃mInt (λ̈, ζ̈, µ)) = ((λ̈, ζ̈, µ)˜̃∩ ˜̃mInt (λ̈, ζ̈, µ)c)˜̃∪ ((λ̈, ζ̈, µ)˜̃∩ ˜̃mInt (λ̈, ζ̈, µ)) = (Φ, ζ̈, µ)˜̃∪ ˜̃mInt (λ̈, ζ̈, µ)˜̃⊇ ˜̃mInt (λ̈, ζ̈, µ). (iv) b˜̃m ( ˜̃mInt (λ̈, ζ̈, µ)) = ˜̃mCl( ˜̃mInt(λ̈, ζ̈, µ))˜̃∩ ˜̃mCl( ˜̃mInt(λ̈, ζ̈, µ))c = ˜̃mCl( ˜̃mInt(λ̈, ζ̈, µ))˜̃∩ ˜̃mCl( ˜̃mCl(λ̈, ζ̈, µ)c)˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ)˜̃∩ ˜̃mCl(λ̈, ζ̈, µ)c = b˜̃m (λ̈, ζ̈, µ). (v) b˜̃m ( ˜̃mCl(λ̈, ζ̈, µ)) = ˜̃mCl( ˜̃mCl(λ̈, ζ̈, µ))˜̃∩ ˜̃mCl( ˜̃mCl(λ̈, ζ̈, µ))c˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ)˜̃∩ ˜̃mCl(λ̈, ζ̈, µ)c = b˜̃m (λ̈, ζ̈, µ). Theorem 7. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ) ˜̃∈ bss(Π). Then b˜̃m (λ̈, ζ̈, µ) ˜̃∩ ˜̃mInt (λ̈, ζ̈, µ) = (Φ, ζ̈, µ). R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 12 of 26 Proof. We start by b˜̃m (λ̈, ζ̈, µ)˜̃∩ ˜̃mInt (λ̈, ζ̈, µ) = ( ˜̃mCl(λ̈, ζ̈, µ) ˜̃\ ˜̃mInt (λ̈, ζ̈, µ))˜̃∩ ˜̃mInt (λ̈, ζ̈, µ) = ˜̃mCl(λ̈, ζ̈, µ)˜̃∩ ˜̃mInt (λ̈, ζ̈, µ)c ˜̃∩ ˜̃mInt (λ̈, ζ̈, µ) = ˜̃mCl(λ̈, ζ̈, µ)˜̃∩(Φ, ζ̈, µ) = (Φ, ζ̈, µ). Theorem 8. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ) ˜̃∈ bss(Π). The following points are true: (i) If (λ̈, ζ̈, µ) ˜̃∈ ˜̃m, then (λ̈, ζ̈, µ) ˜̃∩ b˜̃m (λ̈, ζ̈, µ) = (Φ, ζ̈, µ). (ii) If (λ̈, ζ̈, µ) is ˜̃m-closed, then b˜̃m (λ̈, ζ̈, µ) ˜̃⊆ (λ̈, ζ̈, µ). Proof. (i) Suppose (λ̈, ζ̈, µ) ˜̃∈ ˜̃m. Then by Theorem 3 (iii), we have (λ̈, ζ̈, µ) = ˜̃mInt (λ̈, ζ̈, µ). Since ˜̃mInt (λ̈, ζ̈, µ) ˜̃⊆ (b˜̃m (λ̈, ζ̈, µ))c. That means (λ̈, ζ̈, µ) ˜̃⊆ (b˜̃m (λ̈, ζ̈, µ))c. There- fore, (λ̈, ζ̈, µ) ˜̃∩ b˜̃m (λ̈, ζ̈, µ) = (Φ, ζ̈, µ). (ii) By Theorem 6 (i), we have b˜̃m (λ̈, ζ̈, µ) ˜̃⊆ ˜̃mCl(λ̈, ζ̈, µ). Since (λ̈, ζ̈, µ) is an ˜̃m-closed set, then b˜̃m (λ̈, ζ̈, µ) ˜̃⊆(λ̈, ζ̈, µ). Theorem 9. Let (Π, ˜̃m, µ,¬µ) be a bsms and (λ̈, ζ̈, µ) ˜̃∈ bss(Π) If (λ̈, ζ̈, µ) is both ˜̃m-open and ˜̃m-closed. Then b˜̃m (λ̈, ζ̈, µ) = (Φ, ζ̈, µ). Proof. Suppose that (λ̈, ζ̈, µ) is ˜̃m-open and ˜̃m-closed. Then, b˜̃m (λ̈, ζ̈, µ) = ˜̃mCl(λ̈, ζ̈, µ)˜̃∩ ˜̃mCl(λ̈, ζ̈, µ)c = ˜̃mCl(λ̈, ζ̈, µ)˜̃∩( ˜̃mInt (λ̈, ζ̈, µ))c = (λ̈, ζ̈, µ)˜̃∩(λ̈, ζ̈, µ)c = (Φ, ζ̈, µ). 4. bs ˜̃m-Connected Sets This section presents ˜̃m-separated bsss using bsms and it gives some of their properties. Also, it presents bs ˜̃m-connected sets in terms of bsms and it obtains some properties and relations. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 13 of 26 Definition 19. Let (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) be two bsss in (Π, ˜̃m, µ,¬µ) which are not null. Then (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) are named ˜̃m-separated bsss ( ˜̃m-separated bsss) if (ζ̈1, λ̈1, ϑ) ˜̃∩ ˜̃mCl (ζ̈2, λ̈2, ϑ) = (Φ, λ̈, ϑ) and ˜̃mCl (ζ̈1, λ̈1, ϑ) ˜̃∩ (ζ̈2, λ̈2, ϑ) = (Φ, λ̈, ϑ). Proposition 5. Any two ˜̃m-separated bsss are disjoint bsss. Proof. Obvious. Note that disjoint bsss may not be ˜̃m-separated bsss; it means that the converse of Proposition 5 does not true as shown by the next example. Example 5. Let Π = {ϵ1, ϵ2, ϵ3, ϵ4}, µ = {ϑ1, ϑ2} and ˜̃m = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ) ,(ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ)} be a bsms over Π where (ζ̈1, λ̈1, µ),(ζ̈2, λ̈2, µ),(ζ̈3, λ̈3, µ) ˜̃∈ bss(Π), defined as follows (ζ̈1, λ̈1, µ) = {(ϑ1, {ϵ2, ϵ3}, {ϵ1}), (ϑ2, {ϵ3, ϵ4}, {ϵ2})}, (ζ̈2, λ̈2, µ) = {(ϑ1, {ϵ1, ϵ3}, {ϵ2, ϵ4}), (ϑ2, {ϵ1, ϵ3}, {ϵ2})}, (ζ̈3, λ̈3, µ) = {(ϑ1, {ϵ1, ϵ2, ϵ3}, ϕ), (ϑ2, {ϵ1, ϵ3, ϵ4}, {ϵ2})}. Now, assume that (ξ1, η1, µ) and (ξ2, η2, µ) are disjoint bsss over Π defined by (ξ1, η1, µ) = {(ϑ1, {ϵ1, ϵ2, ϵ4}, {ϵ3}), (ϑ2, {ϵ1, ϵ2, ϵ4}, {ϵ3})} and (ξ2, η2, µ) = {(ϑ1, {ϵ3}, {ϵ2}), (ϑ2, {ϵ3}, {ϵ2})}. Then ˜̃mCl(ξ1, η1, µ) = ˜̃mCl(ξ2, η2, µ) = ( ˜̃ Π,Φ, µ) and (ξ1, η1, µ) ˜̃∩ ˜̃mCl(ξ2, η2, µ) = (ξ1, η1, µ),˜̃mCl(ξ1, η1, µ) ˜̃∩ (ξ2, η2, µ) = (ξ2, η2, µ). But (ξ1, η1, µ) ˜̃∩ (ξ2, η2, µ) = (Φ, η, µ). Thus, bsss (ξ1, η1, µ), (ξ2, η2, µ) are disjoint bsss but not ˜̃m-separated bsss. Proposition 6. If (ζ̈1, λ̈1, µ) and (ζ̈1, λ̈1, µ) are two ˜̃m-separated bsss over Π with (ξ1, η1, µ)˜̃⊆ (ζ̈1, λ̈1, µ) and (ξ2, η2, µ) ˜̃⊆ (ζ̈2, λ̈2, µ). Then, (ξ1, η1, µ) and (ξ2, η2, µ) also are ˜̃m- separated bsss over Π. Proof. Given ˜̃m-separated bsss (ζ̈1, λ̈1, µ) and (ζ̈1, λ̈1, µ). Then (ζ̈1, λ̈1, µ) ˜̃∩ ˜̃mCl (ζ̈2, λ̈2, µ) = ˜̃mCl (ζ̈1, λ̈1, µ) ˜̃∩ (ζ̈2, λ̈2, µ) = (Φ, λ̈, µ). Since (ξ1, η1, µ) ˜̃⊆ (ζ̈1, λ̈1, µ) and (ξ2, η2, µ) ˜̃⊆ (ζ̈2, λ̈2, µ), then ˜̃mCl (ξ1, η1, µ) ˜̃⊆ ˜̃mCl (ζ̈1, λ̈1, µ) and ˜̃mCl (ξ2, η2, µ) ˜̃⊆ ˜̃mCl (ζ̈2, λ̈2, µ). Therefore, (ξ1, η1, µ) ˜̃∩ ˜̃mCl (ξ2, η2, µ) = ˜̃mCl (ξ1, η1, µ) ˜̃∩ (ξ2, η2, µ) = (Φ, η, µ). Hence, (ξ1, η1, µ) and (ξ2, η2, µ) are ˜̃m-separated bsss over Π. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 14 of 26 Theorem 10. Two ˜̃m-closed subsets (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) of bsms (Π, ˜̃m, µ,¬µ) over Π are ˜̃m-separated bsss if and only if they are disjoint bsss. Proof. The first condition is obvious. Conversely, assume that (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) are disjoint ˜̃m-closed. So, (ζ̈1, λ̈1, µ) ˜̃∩ (ζ̈2, λ̈2, µ) = (Φ, λ̈, µ) and ˜̃mCl (ζ̈1, λ̈1, µ) = (ζ̈1, λ̈1, µ),˜̃mCl (ζ̈2, λ̈2, µ) = (ζ̈2, λ̈2, µ) and hence (ζ̈1, λ̈1, µ) ˜̃∩ ˜̃mCl (ζ̈2, λ̈2, µ) = ˜̃mCl (ζ̈1, λ̈1, µ) ˜̃∩ (ζ̈2, λ̈2, µ) = (Φ, λ̈, µ) showing that (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) are ˜̃m-separated bsss over Π. Remark 1. Two disjoint ˜̃m-open sets (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) need not be ˜̃m-separated. Example 6. Let Π = {ϵ1, ϵ2, ϵ3, ϵ4}, µ = {ϑ1, ϑ2} and ˜̃m = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ) ,(ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ)} be a bsms over Π where (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ) ˜̃∈ bss(Π), defined as follows (ζ̈1, λ̈1, µ) = {(ϑ1, {ϵ2}, {ϵ1, ϵ4}), (ϑ2, {ϵ2}, {ϵ1, ϵ4})}, (ζ̈2, λ̈2, µ) = {(ϑ1, {ϵ3}, {ϵ1, ϵ4}), (ϑ2, {ϵ3}, {ϵ1, ϵ4})}, (ζ̈3, λ̈3, µ) = {(ϑ1, {ϵ2, ϵ3}, {ϵ1, ϵ4}), (ϑ2, {ϵ2, ϵ3}, {ϵ1, ϵ4})}. Obviously, (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ) are disjoint ˜̃m-open but not ˜̃m-separated as ˜̃mCl(ζ̈1, λ̈1, µ) = ˜̃mCl(ζ̈2, λ̈2, µ) = ( ˜̃ Π,Φ, µ), which implies that (ζ̈1, λ̈1, µ) ˜̃∩ ˜̃mCl(ζ̈2, λ̈2, µ) = (ζ̈1, λ̈1, µ),˜̃mCl(ζ̈1, λ̈1, µ) ˜̃∩ (ζ̈2, λ̈2, µ) = (ζ̈2, λ̈2, µ). Hence the conclusion. Definition 20. A bs subset (ζ̈, λ̈, µ) of bsms (Π, ˜̃m, µ,¬µ) over Π is called bs ˜̃m-connected over Π if there are no a ˜̃m-separated bsss of (ζ̈, λ̈, µ). Otherwise, a bs set (ζ̈, λ̈, µ) is called bs ˜̃m-disconnected over Π. Remark 2. The set (Φ, ˜̃ Π, µ) is always bs ˜̃m-connected. Also, every bss in which αϑ β is bs ˜̃m-connected as it cannot written as a bs union of a pair of nonnull ˜̃m-separated sets. Definition 21. Let αϑ β, α ′µ′ β′ ˜̃∈ bsp(Π)(µ,¬µ) of a bsms (Π, ˜̃m, µ,¬µ). Then, αϑ β and α′µ′ β′ are called bs ˜̃m-connected points if they are contained in bs ˜̃m-connected set over Π. Proposition 7. Let (Π, ˜̃m, µ,¬µ) be a bsms over Π and (ζ̈, λ̈, µ) be a bs ˜̃m-connected set s.t. (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈1, λ̈1, µ) ˜̃∪ (ζ̈2, λ̈2, µ), where (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) are ˜̃m-separated bsss. Then (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈1, λ̈1, µ) or (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈2, λ̈2, µ). Proof. From (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) are ˜̃m-separated bsss, then (ζ̈1, λ̈1, µ) ˜̃∩ ˜̃mCl(ζ̈2, λ̈2, µ) = (Φ, λ̈, µ) and ˜̃mCl (ζ̈1, λ̈1, µ) ˜̃∩ (ζ̈2, λ̈2, µ) = (Φ, λ̈, µ). Since (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈1, λ̈1, µ) ˜̃∪ (ζ̈2, λ̈2, µ), then (ζ̈, λ̈, µ) = (ζ̈, λ̈, µ) ˜̃∩ ( (ζ̈1, λ̈1, µ) ˜̃∪ (ζ̈2, λ̈2, µ) ) = ( (ζ̈, λ̈, µ) ˜̃∩ (ζ̈1, λ̈1, µ) ) ˜̃∪ R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 15 of 26 ((ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ)). We states that at least one of the bsss ( (ζ̈, λ̈, µ) ˜̃∩ (ζ̈1, λ̈1, µ) ) and( (ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ) ) is null bss. Now, suppose that if possible non of these bsss is null, hence, (ζ̈, λ̈, µ) ˜̃∩ (ζ̈1, λ̈1, µ) ̸= (Φ, λ̈, µ) and (ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ) ̸= (Φ, λ̈, µ). Thus, ((ζ̈, λ̈, µ) ˜̃∩ (ζ̈1, λ̈1, µ)) ˜̃∩ ˜̃mCl ( (ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ) ) ˜̃⊆ ( (ζ̈, λ̈, µ) ˜̃∩ (ζ̈1, λ̈1, µ) ) ˜̃∩ ( ˜̃mCl(ζ̈, λ̈, µ) ˜̃∩ ˜̃mCl(ζ̈2, λ̈2, µ) ) = ( (ζ̈, λ̈, µ) ˜̃∩ ˜̃mCl(ζ̈, λ̈, µ) ) ˜̃∩ ( (ζ̈1, λ̈1, µ) ˜̃∩ ˜̃mCl(ζ̈2, λ̈2, µ) ) = (ζ̈, λ̈, µ) ˜̃∩ (Φ, λ̈, µ) = (Φ, λ̈, µ). Similarly, ˜̃mCl ( (ζ̈, λ̈, µ) ˜̃∩ (ζ̈1, λ̈1, µ) ) ˜̃∩ ( (ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ) ) = (Φ, λ̈, µ). Therefore, (ζ̈, λ̈, µ) ˜̃∩ (ζ̈1, λ̈1, µ) and (ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ) are ˜̃m-separated bsss. Thus, (ζ̈, λ̈, µ) can be expressed as bs union of a pair of ˜̃m-separated bsss. So, (ζ̈, λ̈, µ) is a bs ˜̃m-disconnected. Which is contradiction. Hence, at least one of the bsss (ζ̈, λ̈, µ) ˜̃∩ (ζ̈1, λ̈1, µ) and (ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ) is null bss. Now, if (ζ̈, λ̈, µ) ˜̃∩ (ζ̈1, λ̈1, µ) = (Φ, λ̈, µ), then (ζ̈, λ̈, µ) = (ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ) which implies that (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈2, λ̈2, µ). If (ζ̈, λ̈, µ)˜̃∩ (ζ̈2, λ̈2, µ) = (Φ, λ̈, µ), then (ζ̈, λ̈, µ) = (ζ̈, λ̈, µ) ˜̃∩ (ζ̈1, λ̈1, µ) which implies that (ζ̈, λ̈, µ)˜̃⊆ (ζ̈1, λ̈1, µ). Therefore, either (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈1, λ̈1, µ) or (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈2, λ̈2, µ). Proposition 8. Let (ζ̈, λ̈, µ) be bs ˜̃m-connected and (ξ, η, µ) ˜̃∈ bss(Π) s. t. (ζ̈, λ̈, µ) ˜̃⊆ (ξ, η, µ) ˜̃⊆ ˜̃mCl(ζ̈, λ̈, µ). Then (ξ, η, µ) is bs ˜̃m-connected. In particular, ˜̃mCl(ζ̈, λ̈, µ) is also bs ˜̃m-connected. Proof. Suppose that (ξ, η, µ) is bs ˜̃m-disconnected. Then, there exist nonnull bsss (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) in which (ζ̈1, λ̈1, µ) ˜̃∩ ˜̃mCl (ζ̈2, λ̈2, µ) = ˜̃mCl (ζ̈1, λ̈1, µ) ˜̃∩ (ζ̈2, λ̈2, µ) = (Φ, λ̈, µ) and (ξ, η, µ) = (ζ̈1, λ̈1, µ) ˜̃∪ (ζ̈2, λ̈2, µ). From (ζ̈, λ̈, µ) ˜̃⊆ (ξ, η, µ) = (ζ̈1, λ̈1, µ) ˜̃∪ (ζ̈2, λ̈2, µ), it follows from Proposition 7 that (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈1, λ̈1, µ) or (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈2, λ̈2, µ). Let (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈1, λ̈1, µ) thus, c˜̃m ˜̃mCl(ζ̈, λ̈, µ)˜̃⊆ ˜̃mCl(ζ̈1, λ̈1, µ) then,˜̃mCl(ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ) ˜̃⊆ ˜̃mCl(ζ̈1, λ̈1, µ) ˜̃∩ (ζ̈2, λ̈2, µ) = (Φ, λ̈, µ), R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 16 of 26 but (Φ, λ̈, µ) ˜̃⊆ ˜̃mCl(ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ), therefore,˜̃mCl(ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ) = (Φ, λ̈, µ). So, (ζ̈1, λ̈1, µ) ˜̃∪ (ζ̈2, λ̈2, µ) = (ξ, η, µ) ˜̃⊆ ˜̃mCl(ζ̈, λ̈, µ) then, (ζ̈2, λ̈2, µ) ˜̃⊆ (ξ, η, µ) ˜̃⊆ ˜̃mCl(ζ̈, λ̈, µ) implies that ˜̃mCl(ζ̈, λ̈, µ) ˜̃∩ (ζ̈2, λ̈2, µ) = (ζ̈2, λ̈2, µ). Hence, (ζ̈2, λ̈2, µ) = (Φ, λ̈, µ). This is a contradiction because (ζ̈2, λ̈2, µ) is nonnull bss. Therefore, (ξ, η, µ) is bs ˜̃m-connected. Also, from (ζ̈, λ̈, µ) ˜̃⊆ (ξ, η, µ) ˜̃⊆ ˜̃mCl(ζ̈, λ̈, µ), implies that ˜̃mCl(ζ̈, λ̈, µ) is bs ˜̃m-connected. Proposition 9. Let {(ζ̈δ, λ̈δ, µ) : δ ∈ ∆} be the collection of bs ˜̃m-connected sets s. t.˜̃⋂ δ∈δ (ζ̈δ, λ̈δ, µ) ̸= (Φ, λ̈, µ). Then ˜̃⋃ δ∈∆ (ζ̈δ, λ̈δ, µ) is bs ˜̃m-connected. Proof. Assume (ξ, η, µ) = ˜̃⋃ δ∈∆ (ζ̈δ, λ̈δ, µ) is not bs ˜̃m-connected. Thus, there exist two nonnull disjoint bs ˜̃m-open sets (ξ1, η1, µ) and (ξ2, η2, µ) s. t. (ξ, η, µ) = (ξ1, η1, µ) ˜̃∪ (ξ2, η2, µ). For each δ ∈ ∆, (ξ1, η1, µ) ˜̃∩ (ζ̈δ, λ̈δ, µ) and (ξ2, η2, µ) ˜̃∩ (ζ̈δ, λ̈δ, µ) are disjoint bs ˜̃m-open sets in (ζ̈δ, λ̈δ, µ) in which( (ξ1, η1, µ) ˜̃∩ (ζ̈δ, λ̈δ, µ) ) ˜̃∪ ( (ξ2, η2, µ) ˜̃∩ (ζ̈δ, λ̈δ, µ) ) = ( (ξ1, η1, µ) ˜̃∪ (ξ2, η2, µ) ) ˜̃∩ (ζ̈δ, λ̈δ, µ) = (ζ̈δ, λ̈δ, µ). Now, from (ζ̈δ, λ̈δ, µ) is a bs ˜̃m-connected set, one of the bsss (ξ1, η1, µ) ˜̃∩ (ζ̈δ, λ̈δ, µ) and (ξ2, η2, µ) ˜̃∩ (ζ̈δ, λ̈δ, µ) is a null bsss, say, (ξ1, η1, µ) ˜̃∩ (ζ̈δ, λ̈δ, µ) = (Φ, η, µ). Then, (ξ2, η2, µ)˜̃∩ (ζ̈δ, λ̈δ, µ) = (ζ̈δ, λ̈δ, µ) which implies that (ζ̈δ, λ̈δ, µ) ˜̃⊆ (ξ2, η2, µ) for all δ ∈ ∆ and hence˜̃⋃ δ∈∆ (ζ̈δ, λ̈δ, µ) ˜̃⊆ (ξ2, η2, µ), that is, (ξ1, η1, µ) ˜̃∪ (ξ2, η2, µ) ˜̃⊆ (ξ2, η2, µ). This given, (ξ1, η1, µ) = (Φ, η, µ). This is a contradiction because (ξ1, η1, µ) is nonnull bss. Hence, (ξ, η, µ) is a bs ˜̃m-connected. Proposition 10. For any two bsps αϑ β, α ′µ′ β′ ˜̃∈ (ζ̈, λ̈, µ) ˜̃∈ bss(Π) in a bsms (Π, ˜̃m, µ,¬µ) are contained in some bs ˜̃m-connected set (ξ, η, µ) ˜̃⊆ (ζ̈, λ̈, µ). Then (ζ̈, λ̈, µ) is bs ˜̃m- connected. Proof. Let (ζ̈, λ̈, µ) be a bs ˜̃m-disconnected set. Thus, there exist a ˜̃m-separated bsss (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) of (ζ̈, λ̈, µ). Then, there are two bsps αϑ β, α ′µ′ β′ in which αϑ β ˜̃∈ (ζ̈1, λ̈1, µ) and α′µ′ β′ ˜̃∈ (ζ̈2, λ̈2, µ). By using the assumption,, there is a bs ˜̃m-connected set (ξ, η, µ) containing αϑ β, α ′µ′ β′ s. t. (ξ, η, µ) ˜̃⊆ (ζ̈, λ̈, µ) = (ζ̈1, λ̈1, µ) ˜̃∪ (ζ̈2, λ̈2, µ). Thus, by Proposition 7, we have (ξ, η, µ) ˜̃⊆ (ζ̈1, λ̈1, µ) or (ξ, η, µ) ˜̃⊆ (ζ̈2, λ̈2, µ). This implies that R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 17 of 26 (ζ̈1, λ̈1, µ) ˜̃∩ (ζ̈2, λ̈2, µ) ̸= (Φ, λ̈, µ). This is contradiction since (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) are ˜̃m-separated bsss. So, (ζ̈, λ̈, µ) is bs ˜̃m-connected. Proposition 11. Let {(ζ̈δ, λ̈δ, µ) : δ ∈ ∆} be the class of bs ˜̃m-connected sets s. t. one of the members of this class intersects every other member. Then, ˜̃⋃ δ∈∆ (ζ̈δ, λ̈δ, µ) is bs˜̃m-connected. Proof. Let (ζ̈δ0 , λ̈δ0 , µ) be a fixed member of the given class s. t. (ζ̈δ0 , λ̈δ0 , µ) ˜̃∩ (ζ̈δ, λ̈δ, µ) ̸= (Φ, λ̈µ) for every δ ∈ ∆. Then, (ξδ, ηδ, µ) = (ζ̈δ0 , λ̈δ0 , µ) ˜̃∪ (ζ̈δ, λ̈δ, µ) is bs ˜̃m-connected for each δ ∈ ∆, hence by Proposition 10. Now,˜̃⋃ δ∈∆ (ζ̈δ, λ̈δ, µ) = ˜̃⋃ δ∈∆ ( (ζ̈δ0 , λ̈δ0 , µ) ˜̃∪ (ζ̈δ, λ̈δ, µ) ) = (ζ̈δ0 , λ̈δ0 , µ) ˜̃∪ ( ˜̃⋃ δ∈∆(ζ̈δ, λ̈δ, µ) ) . Since (ζ̈δ0 , λ̈δ0 , µ) is one of the family {(ζ̈δ, λ̈δ, µ) : δ ∈ ∆} and ˜̃⋂ δ∈∆ (ζ̈δ, λ̈δ, µ) = ˜̃⋂ δ∈∆ ( (ζ̈δ0 , λ̈δ0 , µ) ˜̃∪ (ζ̈δ, λ̈δ, µ) ) = (ζ̈δ0 , λ̈δ0 , µ) ˜̃∩ ( ˜̃⋃ δ∈∆(ζ̈δ, λ̈δ, µ) ) ̸= (Φ, ˜̃ Π, µ). From (ζ̈δ0 , λ̈δ0 , µ) intersects every (ζ̈δ, λ̈δ, µ). Therefore, (ζ̈δ0 , λ̈δ0 , µ) ̸= (Φ, ˜̃ Π, µ). Hence, by Proposition 9, ˜̃⋃ δ∈∆ (ζ̈δ, λ̈δ, µ) is bs ˜̃m-connected. Proposition 12. If (ζ̈, λ̈, µ) is a bs ˜̃m-connected subset of a bsms (Π, ˜̃m, µ,¬µ) s. t. (ζ̈, λ̈, µ) ˜̃⊆ (ζ̈1, λ̈1, µ) ˜̃∪ (ζ̈2, λ̈2, µ) where (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) are both bs ˜̃m-closed and nonnull disjoint bsss. Then, (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) are ˜̃m-separated bsss. Proof. Follows directly from Proposition 7 and Theorem 10. Proposition 13. For each two αϑ β, α′µ′ β′ ˜̃∈ bsp(Π)(µ,¬µ) of a bsms (Π, ˜̃m, µ,¬µ) are bs˜̃m-connected, then (Π, ˜̃m, µ,¬µ) is bs ˜̃m-connected. Proof. Let αϑ β be a fixed bsp in a bsms (Π, ˜̃m, µ,¬µ). Then, for each αϑ β bs different than α′µ′ β′ , we have bs ˜̃m-connected, say, (ζ̈, λ̈, µ) containing αϑ β and α′µ′ β′ . Since αϑ β ˜̃∈˜̃⋂ αϑ β ˜̃∈( ˜̃Π,Φ,µ) (ζ̈, λ̈, µ), it follows from Proposition 9 that ˜̃⋃ αϑ β ˜̃∈( ˜̃Π,Φ,µ) (ζ̈, λ̈, µ) = ( ˜̃ Π,Φ, µ) is bs ˜̃m-connected. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 18 of 26 5. bs ˜̃m-Connected Spaces This section presents the concept of bipolar soft minimal connected (bs ˜̃m-connected) space. Also, it discusses some properties and results of this new concept of bsms. Definition 22. Let (Π, ˜̃m, µ,¬µ) be a bsms. A bs ˜̃m-separation of ( ˜̃ Π,Φ, µ) is defined to be the nonnull disjoint bs ˜̃m-open sets (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) s. t. ζ̈1(ϑ) ∪ ζ̈1(ϑ) = Π for each ϑ ∈ µ. Definition 23. A bsms (Π, ˜̃m, µ,¬µ) is called bs ˜̃m-connected if ( ˜̃ Π,Φ, µ) has no bs ˜̃m- separation. That is, there exist no nonnull disjoint bs ˜̃m-open sets (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) s. t. ζ̈1(µ) ∪ ζ̈2(µ) = Π for all µ ∈ µ. Otherwise, (Π, ˜̃m, µ,¬µ) is said to be bs ˜̃m- disconnected. Note that if | Π |= 1, there are only two bsms in Π (that is, (Φ, ˜̃ Π, µ), ( ˜̃ Π,Φ, µ)) are a bs ˜̃m-connected space. Hence, we suppose | Π |> 1. Example 7. Let Π = {ϵ1, ϵ2, ϵ3, ϵ4}, µ = {ϑ1, ϑ2, ϑ3} and ¬µ = {¬ϑ1,¬ϑ2,¬ϑ3}. Sup- pose that ˜̃m = {( ˜̃Π,Φ, µ), (Φ, ˜̃ Π, µ), (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ)} where (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ) ˜̃∈ bss(Π) defined as follows: (ζ̈1, λ̈1, µ) = {(ϑ1, {ϵ1, ϵ3}, {ϵ2}), (ϑ2, {ϵ2, ϵ3}, {ϵ1, ϵ4}), (ϑ3, {ϵ1, ϵ2}, {ϵ3})}, (ζ̈2, λ̈2, µ) = {(ϑ1, {ϵ3, ϵ4}, {ϵ1, ϵ2}), (ϑ2, {ϵ1, ϵ2, ϵ3}, {ϵ4}), (ϑ3, {ϵ1, ϵ4}, ϕ}, (ζ̈3, λ̈3, µ) = {(ϑ1, {ϵ1, ϵ3, ϵ4}, {ϵ2}), (ϑ2, {ϵ1, ϵ2, ϵ3}, {ϵ4}), (ϑ3, {ϵ1, ϵ2, ϵ4}, ϕ)}. Thus (Π, ˜̃m, µ,¬µ) is a bs ˜̃m-connected space since there does not exist bs ˜̃m-separation of ( ˜̃ Π,Φ, µ). Example 8. Let Π = {ϵ1, ϵ2, ϵ3} and µ = {ϑ1, ϑ2}. So, the bsms ˜̃m over Π is given by˜̃m = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ), (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ)} where (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ) ˜̃∈ bss(Π) defined as follows: (ζ̈1, λ̈1, µ) = {(ϑ1, {ϵ1}, {ϵ2}), (ϑ2, {ϵ1}, {ϵ2})}, (ζ̈2, λ̈2, µ) = {(ϑ1, {ϵ2, ϵ3}, {ϵ1}), (ϑ2, {ϵ2, ϵ3}, {ϵ1})}, (ζ̈3, λ̈3, µ) = {(ϑ1, {ϵ1, ϵ3}, {ϵ2}), (ϑ2, {ϵ1, ϵ3}, {ϵ2})}. Therefore, (Π, ˜̃m, µ,¬µ) is bs ˜̃m-disconnected since (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) form a bs˜̃m-separation of ( ˜̃ Π,Φ, µ). Theorem 11. A bsms (Π, ˜̃m, µ,¬µ) over Π is bs ˜̃m-disconnected space if and only if there are two bs ˜̃m-closed sets (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) s. t. λ̈1(¬ϑ) ̸= ϕ, λ̈2(¬ϑ) ̸= ϕ for some ¬ϑ ∈ ¬µ, and λ̈1(¬ϑ) ∪ λ̈2(¬ϑ) = Π for each ¬ϑ ∈ ¬µ and λ̈1(¬ϑ) ∩ λ̈2(¬ϑ) = ϕ for each ¬ϑ ∈ ¬µ. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 19 of 26 Proof. Suppose that (Π, ˜̃m, µ,¬µ) is bs ˜̃m-disconnected. Then, there exist bs ˜̃m-separation of ( ˜̃ Π,Φ, µ), say, (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ). Then, ζ̈1(ϑ) ∪ ζ̈2(ϑ) = Π for all ϑ ∈ µ, ζ̈1(ϑ) ∩ ζ̈2(ϑ) = ϕ for all ϑ ∈ µ and ζ̈1(ϑ) ̸= ϕ, ζ̈2(ϑ) ̸= ϕ for some ϑ ∈ µ. Since ζ̈1(ϑ) = λ̈c 1(¬ϑ) and ζ̈2(ϑ) = λ̈c 2(¬ϑ). Now, we get λ̈c 1(¬ϑ) ∪ λ̈c 2(¬ϑ) = Π for all ϑ ∈ µ, λ̈c 1(¬ϑ) ∩ λ̈c 2(¬ϑ) = ϕ for all ϑ ∈ µ and λ̈c 1(ϑ) ̸= ϕ, ζ̈2(ϑ) ̸= ϕ for some ϑ ∈ µ. From, (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ) ˜̃∈ ˜̃m, then (ζ̈1, λ̈1, µ) c and (ζ̈2, λ̈2, µ) c are bs ˜̃m-closed sets. Conversely, assume that there are bs ˜̃m-closed sets (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ) s. t. λ̈1(¬ϑ) ∪ λ̈2(¬ϑ) = Π for all ¬ϑ ∈ ¬µ, λ̈1(¬ϑ) ∩ λ̈2(¬ϑ) = ϕ for all ¬ϑ ∈ ¬µ and λ̈1(¬ϑ) ̸= ϕ, λ̈2(¬ϑ) ̸= ϕ for some ¬ϑ ∈ ¬µ. Then (ζ̈1, λ̈1, µ) c, (ζ̈2, λ̈2, µ) c are bs ˜̃m-open sets s. t. ζ̈c1(ϑ) = λ̈1(¬ϑ) ̸= ϕ and ζ̈c2(ϑ) = λ̈2(¬ϑ) ̸= ϕ for some ϑ ∈ µ, ζ̈c1(ϑ) ∪ ζ̈c2(ϑ) = λ̈1(¬ϑ) ∪ λ̈2(¬ϑ) = Π for all ϑ ∈ µ and ζ̈c1(ϑ) ∩ ζ̈c2(ϑ) = λ̈1(¬ϑ) ∩ λ̈2(¬ϑ) = ϕ for all ϑ ∈ µ. Thus, (ζ̈1, λ̈1, µ) c and (ζ̈2, λ̈2, µ) c form bs ˜̃m-separation of ( ˜̃ Π,Φ, µ). Thus, (Π, ˜̃m, µ,¬µ) is a bs ˜̃m-disconnected space. Theorem 12. The bs intersection of a pair of bs ˜̃m-connected spaces over a common universal set is bs ˜̃m-connected. Proof. Let (Π, ˜̃m1, µ,¬µ) and (Π, ˜̃m2, µ,¬µ) be two bs ˜̃mi-connected spaces over Π, i = 1, 2 and ˜̃m = ˜̃m1 ˜̃∩ ˜̃m2. We need to show that the space (Π, ˜̃m, µ,¬µ) is bs ˜̃m-connected. If we say that (Π, ˜̃m, µ,¬µ) is not bs ˜̃m-connected. Then there exist two bsss (ζ̈1, λ̈1, µ),(ζ̈2, λ̈2, µ)˜̃∈ ˜̃m, which forms a bs ˜̃m-separation of ( ˜̃ Π,Φ, µ) in (Π, ˜̃m, µ,¬µ). From (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ)˜̃∈ ˜̃m, then (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ) ˜̃∈ ˜̃m1 and (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ) ˜̃∈ ˜̃m2. This lead to (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) form a bs ˜̃m1-separation of ( ˜̃ Π,Φ, µ) in (Π, ˜̃m1, µ,¬µ) and also (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) form a bs ˜̃m2-separation of ( ˜̃ Π,Φ, µ) in (Π, ˜̃m2, µ,¬µ) which is the contradiction to given hypothesis. Therefore, (Π, ˜̃m, µ,¬µ) is a bs ˜̃m-connected space over Π. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 20 of 26 Remark 3. The bs union of a pair of bs ˜̃m-connected spaces over the common universal set may not be bs ˜̃m-connected. Example 9. Let Π = {ϵ1, ϵ2}, µ = {ϑ1, ϑ2}, ˜̃m1 = {(Φ, ˜̃Π, µ), (ζ̈1, λ̈1, µ)} and˜̃m2 = {(Φ, ˜̃Π, µ), (ζ̈2, λ̈2, µ)}, where (ζ̈1, λ̈1, µ) = {(ϑ1, ϕ,Π), (ϑ2,Π, ϕ)} and (ζ̈2, λ̈2, µ) = {(ϑ1,Π, ϕ), (ϑ2, ϕ,Π)}. Clearly (Π, ˜̃m1, µ,¬µ) and (Π, ˜̃m2, µ,¬µ) are bs ˜̃m-connected spaces over Π where ˜̃m = ˜̃m1 ˜̃∪˜̃m2. But we note that ˜̃m1 ˜̃∪ ˜̃m2 = {(Φ, ˜̃Π, µ), (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ)} is not a bs ˜̃m-connected space over Π since (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) form a bs ˜̃m-separation of ( ˜̃ Π,Φ, µ) in ˜̃m1 ˜̃∪˜̃m2. Proposition 14. The bs union of a pair of bs ˜̃m-disconnected spaces over the common universal set is bs ˜̃m-disconnected. Proof. Obvious. Remark 4. The bs intersection of a pair of bs ˜̃m-disconnected spaces over the common universal set need not be a bs ˜̃m-disconnected space. Example 10. Let Π = {ϵ1, ϵ2, ϵ3}, µ = {ϑ1, ϑ2}, ˜̃m1 = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ), (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ)} and ˜̃m2 = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ), (ζ̈3, λ̈3, µ), (ζ̈4, λ̈4, µ)}, where (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ), (ζ̈4, λ̈4, µ) ˜̃∈ bss(Π) defined as follows (ζ̈1, λ̈1, µ) = {(ϑ1, {ϵ1}, {ϵ2}), (ϑ2, {ϵ1, ϵ2}, {ϵ3})}, (ζ̈2, λ̈2, µ) = {(ϑ1, {ϵ2, ϵ3}, ϕ), (ϑ2, {ϵ3}, {ϵ1})}, (ζ̈3, λ̈3, µ) = {(ϑ1, {ϵ1, ϵ3}, {ϵ2}), (ϑ2, {ϵ1, ϵ3}, {ϵ2})} and (ζ̈4, λ̈4, µ) = {(ϑ1, {ϵ2}, {ϵ1}), (ϑ2, {ϵ2}, {ϵ1})}. Clearly (Π, ˜̃m1, µ,¬µ) and (Π, ˜̃m2, µ,¬µ) are bs ˜̃m-disconnected spaces over Π where ˜̃m = ˜̃m1 ˜̃∩ ˜̃m2. But we note that ˜̃m1 ˜̃∩ ˜̃m2 = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ)} is not a bs ˜̃m-disconnected space over Π since there is no two bs ˜̃m-separation of ( ˜̃ Π,Φ, µ) in ˜̃m1 ˜̃∩ ˜̃m2. Proposition 15. Let (Π, ˜̃m, µ,¬µ) be a bsms over Π. If there exist a nonnull, non-absolute bs ˜̃m-clopen set (ζ̈, λ̈, µ) over Π with ζ̈(ϑ) ∪ ζ̈c(ϑ) = Π for each ϑ ∈ µ, then (Π, ˜̃m, µ,¬µ) is bs ˜̃m-disconnected. Proof. Since (ζ̈, λ̈, µ) is a nonnull, non-absolute bs ˜̃m-clopen set, then (ζ̈, λ̈, µ)c is a nonnull non-absolute bs ˜̃m-clopen set. By Proposition 2 and the assumption, we get R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 21 of 26 ζ̈(ϑ) ∪ ζ̈c(ϑ) = Π for each ϑ ∈ µ and λ̈(¬ϑ) ∩ λ̈c(¬ϑ) = ϕ for each ¬ϑ ∈ ¬µ, and ζ̈(ϑ) ∩ ζ̈c(ϑ) = ϕ for each ϑ ∈ µ and λ̈(¬ϑ) ∪ λ̈c(¬ϑ) = Π for each ¬ϑ ∈ ¬µ, Therefore, (ζ̈, λ̈, µ) and (ζ̈, λ̈, µ)c form a bs ˜̃m-separation of ( ˜̃ Π,Φ, µ). Hence, (Π, ˜̃m, µ,¬µ) is a bs ˜̃m-disconnected space. Remark 5. If there exist a nonnull, non-absolute bs ˜̃m-clopen set, then (Π, ˜̃m, µ,¬µ) may not be a bs ˜̃m-disconnected space. Example 11. Let Π = {ϵ1, ϵ2, ϵ3}, µ = {ϑ1, ϑ2}, ˜̃m1 = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ), (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ)}, where (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ) ˜̃∈ bss(Π) defined as follows (ζ̈1, λ̈1, µ) = {(ϑ1, {ϵ1, ϵ2}, {ϵ3}), (ϑ2, {ϵ1}, {ϵ3})}, (ζ̈2, λ̈2, µ) = {(ϑ1, {ϵ3}, {ϵ1, ϵ2}), (ϑ2, {ϵ3}, {ϵ1})} and (ζ̈3, λ̈3, µ) = {(ϑ1,Π, ϕ), (ϑ2, {ϵ1, ϵ3}, ϕ)}. Obviously, (ζ̈1, λ̈1, µ) is nonnull, non-absolute bs ˜̃m-clopen but (Π, ˜̃m, µ,¬µ) is not a bs˜̃m-disconnected space since there does not exist bs ˜̃m-separation of ( ˜̃ Π,Φ, µ). Proposition 16. Let (Π, ˜̃m1, µ,¬µ) and (Π, ˜̃m2, µ,¬µ) be two bsmss over Π. Then, (i) If (Π, ˜̃m1, µ,¬µ) is a bs ˜̃m1-connected s. t. ˜̃m2 ˜̃⊆ ˜̃m1, then (Π, ˜̃m2, µ,¬µ) is a bs˜̃m2-connected. (ii) If (Π, ˜̃m1, µ,¬µ) is a bs ˜̃m1-disconnected s. t. ˜̃m1 ˜̃⊆ ˜̃m2, then (Π, ˜̃m2, µ,¬µ) is a bs˜̃m2-disconnected. Proof. (i) Assume that (Π, ˜̃m1, µ,¬µ) is a bs ˜̃m1-connected s. t. ˜̃m2 ˜̃⊆ ˜̃m1. Assume the contrary that (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) are bs ˜̃m2-separation of ( ˜̃ Π,Φ, µ) in (Π, ˜̃m2, µ,¬µ). Since ˜̃m2 ˜̃⊆ ˜̃m1, then (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ) are bs ˜̃m1-separation of ( ˜̃ Π,Φ, µ) in (Π, ˜̃m1, µ,¬µ). This is contradiction. Therefore, (Π, ˜̃m2, µ,¬µ) is bs ˜̃m2-connected. (ii) Let (Π, ˜̃m1, µ,¬µ) be a bs ˜̃m1-disconnected s. t. ˜̃m1 ˜̃⊆ ˜̃m2. Assume the contrary that (Π, ˜̃m2, µ,¬µ) is a bs ˜̃m2-connected space. Since ˜̃m1 ˜̃⊆ ˜̃m2, then by (1), we get (Π, ˜̃m1, µ,¬µ) is bs ˜̃m1-connected. This is contradiction. Therefore, (Π, ˜̃m2, µ,¬µ) is bs ˜̃m2-disconnected. Definition 24. Let (Π, ˜̃m, µ,¬µ) be a bsms and (ζ̈, λ̈, µ) ˜̃∈ bss(Π). Then the collection R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 22 of 26 ˜̃m(ζ̈,λ̈,µ) = {(ζ̈, λ̈, µ) ˜̃∩ (ζ̈δ, λ̈δ, µ): (ζ̈δ, λ̈δ, µ) ˜̃∈ ˜̃m, δ ∈ ∆}. Then (ϵ(ζ̈,λ̈,µ), ˜̃m(ζ̈,λ̈,µ), µ,¬µ) is called a bs minimal subspace of (Π, ˜̃m, µ,¬µ) and denoted by bsmss. Proposition 17. Let ( (ζ̈, λ̈, µ), ˜̃m(ζ̈,λ̈,µ), µ,¬µ ) be bs ˜̃m-connected, then (ζ̈, λ̈, µ) is bs ˜̃m- connected. Proof. Let ( (ζ̈, λ̈, µ), ˜̃m(ζ̈,λ̈,µ), µ,¬µ ) be a bs ˜̃m-connected space. Assume (ζ̈, λ̈, µ) is bs ˜̃m- disconnected, then there exist ˜̃m-separated bsss, say, (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) of (ζ̈, λ̈, µ), so by Proposition 10 that (ζ̈1, λ̈1, µ) and (ζ̈2, λ̈2, µ) are bs ˜̃m-separation of (ζ̈, λ̈, µ). This is a contradiction. Thus, (ζ̈, λ̈, µ) is a bs ˜̃m-connected space. Definition 25. A property P of a bsms (Π, ˜̃m, µ, ¬µ) is said to be a bs minimal hereditary property (bs ˜̃m-hereditary property) if every bsmss (Ω, ˜̃mΩ, µ, ¬µ) of (Π, ˜̃m, µ, ¬µ) also has the property P. Proposition 18. Let (Ω, ˜̃mΩ, µ,¬µ) be a bsmss of bsms (Π, ˜̃m, µ,¬µ) over Π and (Ωζ̈,Ω λ̈, µ) be a bs ˜̃m-closed set in Ω. Then (ζ̈, λ̈, µ) is a bs ˜̃m-closed set in Π. Proof. Suppose that (Ωζ̈,Ω λ̈, µ) is a bs ˜̃mΩ-closed set in Ω. Thus (Ωζ̈,Ω λ̈, µ)c = (Ωλ̈,Ω ζ̈, µ) is a bs ˜̃mΩ-open set in Ω, where (λ̈, ζ̈, µ) is a bs ˜̃m-open set in Π. Thus, (λ̈, ζ̈, µ)c = (ζ̈, λ̈, µ) is a bs ˜̃m-closed set in Π. Remark 6. The bs ˜̃m-connected space (resp. bs ˜̃m-disconnected space) is not a bs ˜̃m- hereditary property. Example 12. Let Π = {ϵ1, ϵ2, ϵ3}, µ = {ϑ1, ϑ2} and ˜̃m = {(Φ, ˜̃Π, µ), (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ)} where (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ), (ζ̈3, λ̈3, µ) ˜̃∈ bss(Π), defined as follows (ζ̈1, λ̈1, µ) = {(ϑ1, {ϵ1}, {ϵ2, ϵ3}), (ϑ2, {ϵ1}, {ϵ2, ϵ3})}, (ζ̈2, λ̈2, µ) = {(ϑ1, {ϵ2}, {ϵ1, ϵ3}), (ϑ2, {ϵ2}, {ϵ1, ϵ3})} and (ζ̈3, λ̈3, µ) = {(ϑ1, {ϵ1, ϵ2}, {ϵ3}), (ϑ2, {ϵ1, ϵ2}, {ϵ3})}. Therefore, (Π, ˜̃m, µ,¬µ) is a bs ˜̃m-connected space. Now let Ω = {ϵ1, ϵ2}, then ˜̃mΩ = {(Φ, ˜̃Ω, µ), (Ωζ̈1,Ω λ̈1, µ), ( Ωζ̈2, Ω λ̈2, µ), ( Ωζ̈3, Ω λ̈3, µ)}, s. t. (Ωζ̈1, Ω λ̈1, µ) = {(ϑ1, {ϵ1}, {ϵ2}), (ϑ2, {ϵ1}, {ϵ2, })}, (Ωζ̈2, Ω λ̈2, µ) = {(ϑ1, {ϵ2}, {ϵ1}), (ϑ2, {ϵ2}, {ϵ1})} and (Ωζ̈3, Ω λ̈3, µ) = {(ϑ1,Ω, ϕ), (ϑ2,Ω, ϕ)} = ( ˜̃ Ω,Φ, µ). Clearly, (Ω, ˜̃mΩ, µ,¬µ) is a bs ˜̃m-disconnected subspace of (Π, ˜̃m, µ,¬µ). While (Π, ˜̃m, µ,¬µ) is a bs ˜̃m-connected space. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 23 of 26 Example 13. Let Π = {ϵ1, ϵ2, ϵ3}, µ = {ϑ1, ϑ2} and ˜̃m = {(Φ, ˜̃Π, µ), ( ˜̃ Π,Φ, µ), (ζ̈1, λ̈1, µ), (ζ̈2, λ̈2, µ)} where (ζ̈1, λ̈1, µ),(ζ̈2, λ̈2, µ) ˜̃∈ bss(Π), defined as follows (ζ̈1, λ̈1, µ) = {(ϑ1, {ϵ1}, {ϵ2}), (ϑ2, {ϵ2}, {ϵ1, ϵ3})} and (ζ̈2, λ̈2, µ) = {(ϑ1, {ϵ2, ϵ3}, ϕ), (ϑ2, {ϵ1, ϵ3}, {ϵ2})}. Therefore, (Π, ˜̃m, µ,¬µ) is bs ˜̃m-disconnected space. Let Ω = {ϵ3}, then ˜̃mΩ = {(Φ, ˜̃Ω, µ), (Ωζ̈1,Ω λ̈1, µ), ( Ωζ̈2, Ω λ̈2, µ)}, s. t. (Ωζ̈1, Ω λ̈1, µ) = {(ϑ1, ϕ, ϕ), (ϑ2, ϕ,Ω)}, (Ωζ̈2, Ω λ̈2, µ) = {(ϑ1,Ω, ϕ), (ϑ2,Ω, ϕ)}. Clearly, (Ω, ˜̃mΩ, µ,¬µ) is bs ˜̃m-connected subspace of (Π, ˜̃m, µ,¬µ). While (Π, ˜̃m, µ,¬µ) is a bs ˜̃m-connected space. 6. Conclusions and Future Research In this paper, we have presented a comprehensive study on bipolar soft minimal struc- tures in the context of bipolar soft topology. We began by providing a brief overview of relevant preliminaries. The new structure, termed the bipolar soft minimal structure, was introduced, and key operators in bipolar soft minimal spaces, such as the ˜̃m-interior,˜̃m-closure, and ˜̃m-boundary, were explored in detail. Additionally, we introduced the con- cepts of ˜̃m-separated bipolar soft sets and bipolar soft ˜̃m-connected sets, along with their essential properties. A new concept, called bipolar soft minimal connected spaces, was also defined, and it was demonstrated that the bipolar soft intersection of a pair of bipolar soft˜̃m-connected spaces over the common universal set results in a bipolar soft ˜̃m-connected space. However, we showed that the bipolar soft ˜̃m-connected space does not exhibit the˜̃m-hereditary property. Finally, we discussed various relationships, properties, and exam- ples of these new concepts within bipolar soft minimal spaces, providing a foundation for further research in this area. Future research on bipolar soft minimal spaces can focus on several key aspects, in- cluding compactness, continuous mappings, and separation axioms. By exploring these aspects—compactness, continuous mappings, and separation axioms—future research can significantly contribute to the development of bipolar soft minimal spaces and their appli- cations across a range of fields. References [1] D Molodtsov. Soft set theory—first results. Computers and Mathematics with Appli- cations, 37(4):19–31, 1999. [2] P K Maji, R Biswas, and A R Roy. Soft set theory. Computers and Mathematics with Applications, 45:555–562, 2003. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 24 of 26 [3] N Çaǧman and S Enginoğlu. Soft set theory and uni-int decision making. European Journal of Operational Research, 207:848–855, 2010. [4] H Aktas and N Çaǧman. Soft sets and soft groups. Information Sciences, 177:2726–2735, 2007. [5] R Abu-Gdairi and MK El-Bably. The accurate diagnosis for covid-19 variants using nearly initial-rough sets. Heliyon, 10(10), 2024. [6] M I Ali, F Feng, X Liu X, W K Min, and M Shabir. On some new operations in soft set theory. Computers and Mathematics with Applications, 57:1547–1553, 2009. [7] K V Babitha and J Sunil. Soft set relations and functions. Computers and Mathe- matics with Applications, 60(7):1840–1849, 2010. [8] MK El-Bably, R Abu-Gdairi, KK Fleifel, and MA El-Gayar. Exploring β-basic rough sets and their applications in medicine. European Journal of Pure and Applied Math- ematics, 17(4):3743–3771, 2024. [9] D Pei and D Miao. From soft sets to information systems. IEEE International Conference on Granular Computing, 2:617–621, 2005. [10] M Saeed, M Hussain, and A AMughal. A study of soft sets with soft members and soft elements: A new approach. Punjab University Journal of Mathematics, 52(8):1–15, 2020. [11] A Sezgin and A O Atagün. On operations of soft sets. Computers and Mathematics with Applications, 61(5):1457–1467, 2011. [12] M Zhou, S Li, and M Akram. Categorical properties of soft sets. The scientific World Journal, 2014:Article ID 783056, 2014. [13] P Zhu and Q Wen. Operations on soft sets revisited. Journal of Applied Mathematics, 2013:Article ID 105752, 2013. [14] M Shabir and M Naz. On soft topological spaces. Computers and Mathematics with Applications, 61(7):1786–1799, 2011. [15] N Çaǧman, S Karataş, and S Enginoğlu. Soft topology. Computers and Mathematics with Applications, 62(1):351–358, 2011. [16] S Al-Ghour and Z A Ameen. Maximal soft compact and maximal soft connected topologies. Applied Computational Intelligence and Soft Computing, 2022:Article ID 9860015, 2022. [17] M H Alqahtani and Z A Ameen. Soft nodec spaces. AIMS Mathematics, 9(2):3289– 3302, 2024. [18] O F Alghamdi, M H Alqahtani, and Z A Ameen. On soft submaximal and soft door spaces. Contemporary Mathematics, pages 663–675, 2025. [19] M H Alqahtani, O F Alghamdi, and Z A Ameen. Nodecness of soft generalized topological spaces. International Journal of Analysis and Applications, 22:149–149, 2024. [20] Z A Ameen, O F Alghamdi, B A Asaad, and R A Mohammed. Methods of generating soft topologies and soft separation axioms. European Journal of Pure And Applied Mathematics, 17(2):1168–1182, 2024. [21] Z A Ameen, M H Alqahtani, and O F Alghamdi. Lower density soft operators and density soft topologies. Heliyon, 10(15), 2024. R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 25 of 26 [22] Z A Ameen and S Al Ghour. Minimal soft topologies. New Mathematics and Natural Computation, 19(01):19–31, 2023. [23] Z A Ameen and S Al Ghour. Cluster soft sets and cluster soft topologies. Computa- tional and Applied Mathematics, 42(8):337, 2023. [24] T Aydin and S Enginoglu. Some results on soft topological notions. Journal of New Results in Science, 10:65–75, 2021. [25] W K Min. A note on soft topological spaces. Computers and Mathematics with Applications, 62(9):3524–3528, 2011. [26] N Ç Polat, G Yaylalı, and B Tanay. Some results on soft element and soft topological space. Mathematical Methods in the Applied Sciences, 42(16):5607–5614, 2019. [27] J Thomas and S J John. On soft generalized topological spaces. Journal of New Results in Science, 4:01–15, 2014. [28] M Shabir and M Naz. On bipolar soft sets. arXiv preprint, page https://arxiv.org/abs/1303.1344, 2013. [29] F Karaaslan and S Karataş. A new approach to bipolar soft sets and its applications. Discrete Mathematics, Algorithms and Applications, 7(04):1550054, 2015. [30] D Dubois and H Prade. An introduction to bipolar representations of information and preference. International Journal of Intelligent Systems, 23(8):866–877, 2008. [31] T Mahmood. A novel approach towards bipolar soft sets and their applications. Journal of Mathematics, 2020:Artical ID 4690808, 2020. [32] Taha Yasin Öztürk. On bipolar soft points. TWMS Journal of Applied and Engi- neering Mathematics, 2020. [33] B A Asaad and S Y Musa. A novel class of bipolar soft separation axioms concerning crisp points. Demonstratio Mathematica, 56(1):20220189, 2023. [34] A Fadel and S C Dzul-Kifli. Bipolar soft topological spaces. European Journal of Pure and Applied Mathematics, 13(2):227–245, 2020. [35] A Fadel and S C Dzul-Kifli. Bipolar soft functions. AIMS Mathematics, 6(5):4428– 4446, 2021. [36] H Y Saleh, B A Asaad, and R A Mohammed. Bipolar soft generalized topological structures and their application in decision making. European Journal of Pure and Applied Mathematics, 15(2):646–671, 2022. [37] H Y Saleh, B A Asaad, and R A Mohammed. Bipolar soft limit points in bipolar soft generalized topological spaces. Mathematics and Statistics, 10(6):1264–1274, 2022. [38] H Y Saleh, B A Asaad, and R AMohammed. Connectedness, local connectedness, and components on bipolar soft generalized topological spaces. Journal of Mathematics and Computer Science, 30(4):302–321, feb 2023. [39] H Y Saleh, B A Asaad, and R A Mohammed. Novel classes of bipolar soft generalized topological structures: Compactness and homeomorphisms. Fuzzy Information and Engineering, 16(1):49–73, 2024. [40] H Y Saleh, A A Salih, B A Asaad, and R A Mohammed. Binary bipolar soft points and topology on binary bipolar soft sets with their symmetric properties. Symmetry, 16(1):23, 2023. [41] M Shabir and A Bakhtawar. Bipolar soft connected, bipolar soft disconnected and R. A. Mohammed / Eur. J. Pure Appl. Math, 18 (2) (2025), 5928 26 of 26 bipolar soft compact spaces. Songklanakarin Journal of Science and Technology, 39(3):359–371, 2017. [42] T Y Öztürk. On bipolar soft topological spaces. Journal of New Theory, 20:64–75, 2018. [43] S Y Musa and B A Asaad. Bipolar hypersoft sets. Mathematics, 9(15):1826, 2021. [44] S Y Musa and B A Asaad. Connectedness on bipolar hypersoft topological spaces. Journal of Intelligent and Fuzzy Systems, page Accepted, 2021. [45] S Y Musa and B A Asaad. Topological structures via bipolar hypersoft sets. Journal of Mathematics, 2022:Article ID 2896053, 2022.