EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 14, No. 3, 2021, 923-941 ISSN 1307-5543 – ejpam.com Published by New York Business Global Some New Results of Fixed Point in Fuzzy Soft G-Metric Spaces Abdelhamied Farrag Sayed1,∗, Abdullah Alahmari2 1 Department of Mathematics, Al-Lith University College, Umm Al-Qura University, P.O. Box 112, Al-Lith 21961, Makkah Al Mukarramah, Kingdom of Saudi Arabia 2 Department of Mathematics, College of Applied Sciences, Umm Al-Qura University, Kingdom of Saudi Arabia. Abstract. The main goal of the present paper is to study and prove some results of fixed points for mappings satisfying different conditions in fuzzy soft G-metric spaces. 2020 Mathematics Subject Classifications: 03E72, 54A40, 54E40, 54E50, 47H10 Key Words and Phrases: Fuzzy set, Fuzzy soft set, Fuzzy soft G-metric space, Fixed point 1. Introduction Most of the real life problems have various uncertainties and that classical mathematics may not be able to model properly. Among these uncertainties, there are two types of mathematical tools for dealing with such problems: fuzzy set theory [32] and theory of soft sets due to Molodstov [19], both of which aid in the solution of problems in various fields. Maji et al. [23] introduced the fuzzy soft set, which is a hybrid of fuzzy and soft sets. Roy and Maji [22] presented some results on the use of fuzzy soft sets in decision-making problems. The applications of fuzzy soft sets have been extensively studied (see, e.g., [1, 3, 4, 6, 12, 15, 16, 18, 31]). Beaulaa and Gunaseeli defined the fuzzy soft metric space in [7], and Sayed and Alahmari [25] defined the notions of some mappings and proved several fixed point theorems in fuzzy soft metric spaces. Mustafa and Sims [20] introduced the concept of G-metric space to extend and generalize the concept of metric space. Since then, a number of authors have investigated a variety of well-known results in G-metric space (see, e.g., [5, 13, 21, 24, 26–30]). Güler et al. [11] proposed the idea of a soft G- metric space based on a soft element and found some of its properties. Then they came up with the concepts ”soft G-convergence” and ”soft continuity”. They also established that fixed points in soft G-metric spaces exist and are unique. Güler and Yildirim presented ∗Corresponding author. DOI: https://doi.org/10.29020/nybg.ejpam.v14i3.4028 Email addresses: dr.afsayed@hotmail.com, afssayed@uqu.edu.sa (A. F. Sayed), aaahmari@uqu.edu.sa (A. Alahmari) http://www.ejpam.com 923 © 2021 EJPAM All rights reserved. A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 924 soft G-Cauchy sequences and soft G-complete metric spaces in [10], and Shrivastava et al. established fixed point results of mapping defined on soft G-metric spaces in [17]. Using fuzzy soft elements, Sayed et al. proposed the concept of fuzzy soft G-metric space in [2]. They also investigated on fuzzy soft continuity and convergence in fuzzy soft G-metric spaces. The main goal of the present paper is to study and prove some results of fixed points for mappings satisfying different conditions in fuzzy soft G-metric spaces. 2. Preliminaries Basic definitions of fuzzy soft sets and fuzzy soft G-metric spaces are presented in this section. Throughout this study, we will use the terms X to refer to an initial universe, E to refer to the set of all parameters for X, and I = [0, 1] to refer to the initial universe. Definition 1. [32] The membership function µA(x) of a fuzzy set A is a function µA : X → [0, 1] So, every element x in X has membership degree: µA(x) ∈ [0, 1]. A is completely determined by the set of tuples: A = {(x, µA(x)) : x ∈ X}. An empty fuzzy set, denoted by 0̃ is one whose membership value is 0, ∀x ∈ X. In contrast to the above, when µA(x) = 1, then the fuzzy set A is the universal fuzzy set, denoted by 1̃. Definition 2. [8] A fuzzy soft set fA over X is a pair (f,A), where f is a mapping f : A→ IX defined by fA(e) = { 0̃, if e /∈ A; otherwise, if e ∈ A. Definition 3. [9] A fuzzy soft set fA over X is said to be: (a) null fuzzy soft set, denoted by φ̃, if for all e ∈ A, fA(e) = 0̃, (b) absolute fuzzy soft set, denoted by Ẽ, if for all e ∈ A, fA(e) = 1̃. The fuzzy soft real numbers were defined in [14], denoted by ˜̃r, ˜̃s, ˜̃t, ... etc, and ¯̄r, ¯̄s, ¯̄t will be denoted in particular type of fuzzy soft real numbers such that ¯̄r(e) is a fuzzy number for all e ∈ E. Let A ⊆ E. R(A)∗ be a set of all nonnegative fuzzy soft real numbers and FSC(fA) denotes a collection of all fuzzy soft points of a fuzzy soft set fA over X. Definition 4. [2] Let E be a nonempty set of parameters, A ⊆ E and Ẽ be the absolute fuzzy soft. A mapping G̃ : FSC(Ẽ)× FSC(Ẽ)× FSC(Ẽ)→ R(A)∗ is said to be a fuzzy soft G-metric on Ẽ if G̃ satisfies the following conditions: (FSG̃1) : G̃(fe1 , fe2 , fe3) = 0̃ if fe1 = fe2 = fe3; (FSG̃2) : 0̃<̃G̃(fe1 , fe2 , fe3) for all fe1 , fe2∈̃FSC(Ẽ) with fe1 6= fe2; (FSG̃3) : G̃(fe1 , fe1 , fe2)≤̃G̃(fe1 , fe2 , fe3) for all fe1 , fe2 , fe3∈̃FSC(Ẽ) with fe2 6= fe3; A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 925 (FSG̃4) : G̃(fe1 , fe2 , fe3) = G̃(fe1 , fe3 , fe2) = G̃(fe2 , fe3 , fe1) = ...; (FSG̃5) : G̃(fe1 , fe2 , fe3)≤̃G̃(fe1 , fe, fe) + G̃(fe, fe2 , fe3) for all fe1 , fe2 , fe3 , fe∈̃FSC(Ẽ). The fuzzy soft set Ẽ with a fuzzy soft G-metric G̃ on Ẽ is said to be a fuzzy soft G-metric space and is denoted by (Ẽ, G̃). Definition 5. [2] Let (Ẽ, G̃) be a fuzzy soft G-metric space and {fen} a sequence of fuzzy soft elements in Ẽ. The sequence {fen} is said to be fuzzy soft G-convergent to fe in Ẽ if for every ε̃≥̃0̃, chosen arbitrary, there exists a natural number N = N(ε̃) such that 0̃≤̃G̃(fen , fen , fe)<̃ε̃ whenever n ≥ N i.e n ≥ N ⇒ {fen}∈̃ ˜̃B(fe, ˜̃t, ε̃). We denote this by fen → fe as n→∞ or Limn→∞{fen} = fe. Definition 6. [2] Let (Ẽ, G̃) be a fuzzy soft G-metric space and {fen} be sequence of fuzzy soft elements in Ẽ. Then the sequence {fen} is said to be fuzzy soft G-Cauchy if for every ε̃≥̃0̃, there exist δ̃>̃0̃ and a positive integer N = N(ε̃) such that G̃(fen , fem , fel)<̃ε̃ for all n,m, l ≥ N ; that is G̃(fen , fem , fel)→ 0̃ as n,m, l→∞. Definition 7. [2] A fuzzy soft G-metric space (Ẽ, G̃) is said to be fuzzy soft G-complete if every fuzzy soft G-Cauchy sequence in (Ẽ, G̃) is fuzzy soft G-convergent in (Ẽ, G̃). Definition 8. [2] Let (Ẽ, G̃), ( ˜́ E, ˜́ G) be two fuzzy soft G-metric spaces. Then a function T : Ẽ → ˜́ E is fuzzy soft G-continuous at a fuzzy soft element fe∈̃FSC(Ẽ) if and only if for every ε̃>̃0̃, there exists δ̃≥̃0̃ such that fe1 , fe2∈̃FSC(Ẽ) and G̃(fe, fe1 , fe2)<̃δ̃ implies that ˜́ G(Tfe, T fe1 , T fe2)<̃ε̃. A function T is fuzzy soft G-continuous if and only if it is fuzzy soft G-continuous at all fuzzy soft elements fe∈̃FSC(Ẽ) 3. Main Results We start our main results in this paper with the following theorem (Theorem 4.2 in [2]) Theorem 1. Let (Ẽ, G̃) be a fuzzy soft G-complete and T : (Ẽ, G̃)→ (Ẽ, G̃) be a mapping that satisfies the following condition for all fe1 , fe2 , fe3∈̃FSC(Ẽ), G̃(Tfe1 , Tfe2 , Tfe3)≤̃¯̄aG̃(fe1 , Tfe1 , Tfe1) + ¯̄bG̃(fe2 , Tfe2 , Tfe2)+ ¯̄cG̃(fe3 , T fe3 , Tfe3) + ¯̄dG̃(fe1 , fe2 , fe3), (1) where 0̃≤̃¯̄a+ ¯̄b+ ¯̄c+ ¯̄d<̃1̃. Then T has a unique fixed point, say fe, and T is a fuzzy soft G-continuous at fe. We will show that this theorem fails to verify if the set of parameter is not finite. For this, we will provide the following two examples: A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 926 Example 1. Let X = E = { 1 n : n ∈ N}. Consider the fuzzy soft G-metric space (Ẽ, G̃), where G̃(fe1 , fe2 , fe3) = ˜̃1 3 {|fe1 − fe2 |+ |fe2 − fe3 |+ |fe1 − fe3 |} ,∀fe1 , fe2 , fe3∈̃FSC(Ẽ). Note that, (Ẽ, G̃) is a symmetric fuzzy soft G-metric(Proposition 3.3, [2]). Now, we show that (Ẽ, G̃) is fuzzy soft G-complete. For this, suppose that {fen}n∈N is a fuzzy soft G-Cauchy sequence of fuzzy soft elements in (Ẽ, G̃). Take the fuzzy soft real number ε̃ such that ε̃(λ) = λ,∀λ ∈ E, that is ε̃( 1 h) = 1 h ,∀h ∈ N. Then, ∃k ∈ N such that G̃(fen , fem , fel)<̃ε̃, ∀n,m, l ≥ k, which implies to G̃(fen , fem , fel)( 1 h) < ε̃( 1 h),∀h ∈ N. Hence ˜̃1 3 (|fen − fem |+ |fem − fel |+ |fen − fel |) ( 1 h ) < 1 h′ , ∀n,m, l ≥ k, h ∈ N Which implies to ˜̃1 3 (|fen − fem |+ |fem − fel |+ |fen − fel |) ≤ 1 h′ , ∀n,m, l ≥ k, h ∈ N So, we obtain that the sequence {fen}n∈N is eventually constant, and hence fuzzy soft G-convergent. Hence (Ẽ, G̃) is fuzzy soft G-complete. Now suppose T : (Ẽ, G̃)→ (Ẽ, G̃) is defined as: T (fe) = ˜̃1 8(fe),∀fe ∈ FSC(Ẽ) Note that T satisfies the condition (1). For any fe1 , fe2 , fe3∈̃FSC(Ẽ) and η ∈ E, we have G̃(Tfe1 , T fe2 , T fe3)(η) = ( ˜̃1 3 { ˜̃1 8 |fe1 − fe2 |+ ˜̃1 8 |fe2 − fe3 |+ ˜̃1 8 |fe1 − fe3 | }) (η) = ˜̃1 24 {|fe1 − fe2 |+ |fe2 − fe3 |+ |fe1 − fe3 |} = ˜̃1 8G̃(fe1 , fe2 , fe3)(η) ≤̃˜̃1 8 { G̃(fe1 , Tfe1 , Tfe1) + G̃(fe2 , Tfe2 , Tfe2) + G̃(fe3 , Tfe3 , T fe3) } (η). Hence, we obtain G̃(Tfe1 , T fe2 , T fe3)≤̃˜̃1 8G̃(fe1 , T fe1 , T fe1) + ˜̃1 8G̃(fe2 , Tfe2 , Tfe2) + ˜̃1 8G̃(fe3 , T fe3 , T fe3) + ˜̃1 8G̃(fe1 , fe2 , fe3). All conditions of Theorem 1 are satisfied but T is a fixed point free map. Example 2. Let X = E = { 1 n : n ∈ N}. Consider the fuzzy soft G-metric space (Ẽ, G̃), where the fuzzy soft G-metric is defined as: G̃(fe1 , fe2 , fe3) =  fe1 + fe2 + fe3 + 1̃, if fe1 6= fe2 6= fe3 6= 0̃; fe1 + fe3 + 1̃, if fe1 = fe2 6= fe3 6= 0̃; fe2 + fe3 + ˜̃2, if fe1 = 0̃, fe2 6= fe3 6= 0̃; fe2 + ˜̃3, if fe1 = 0̃, fe2 = fe3 6= 0̃; fe3 + ˜̃2, if fe1 = fe2 = 0̃, fe3 6= 0̃; 0̃, if fe1 = fe2 = fe3, A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 927 and extend the definition by symmetry in its arguments. It is easy to show that (Ẽ, G̃) is a fuzzy soft G-metric which is not symmetric. Now, we show that (Ẽ, G̃) is fuzzy soft G-complete. For this, suppose that {fen}n∈N is a fuzzy soft G-Cauchy sequence of fuzzy soft elements in (Ẽ, G̃). Take the fuzzy soft real number ε̃ such that ε̃(λ) = λ,∀λ ∈ E, that is ε̃( 1 h) = 1 h ,∀h ∈ N. Then, ∃k ∈ N such that G̃(fen , fem , fel)<̃ε̃,∀n,m, l ≥ k, Which implies to G̃(fen , fem , fel)( 1 h)<̃ε̃( 1 h),∀h ∈ N, that is G̃(fen , fem , fel)( 1 h)<̃ 1 h′ ,∀n,m, l ≥ k,∀h ∈ N. This is possible only if the sequence {fen}n∈N is constant, and therefore it is fuzzy soft G-convergent. We conclude that (Ẽ, G̃) is fuzzy soft G-complete. Now suppose T : (Ẽ, G̃)→ (Ẽ, G̃) is defined as: T (fe) = ˜̃1 8(fe),∀fe ∈ FSC(Ẽ) Note that T satisfies the condition (1). For any fe1 , fe2 , fe3∈̃FSC(Ẽ) and η ∈ E, we have G̃(Tfe1 , T fe2 , T fe3)(η) = ˜̃1 8G̃(fe1 , fe2 , fe3)(η) ≤̃˜̃1 8{G̃(fe1 , Tfe1 , Tfe1) + G̃(fe2 , Tfe2 , T fe2) + G̃(fe3 , T fe3 , T fe3) + G̃(fe1 , fe2 , fe3)}(η). Hence, we obtain G̃(Tfe1 , T fe2 , T fe3)≤̃˜̃1 8G̃(fe1 , T fe1 , T fe1) + ˜̃1 8G̃(fe2 , Tfe2 , Tfe2) + ˜̃1 8G̃(fe3 , T fe3 , T fe3) + ˜̃1 8G̃(fe1 , fe2 , fe3). All conditions of Theorem 1 are satisfied but T can be seen it has no fixed point. Next, we see that keeping the set of parameters finite, one can obtain the following new results. Theorem 2. Suppose (Ẽ, G̃) is a fuzzy soft G-metric space and T : (Ẽ, G̃)→ (Ẽ, G̃) is a mapping satisfying the following condition: ¯̄aG̃(Tfe1 , T fe2 , Tfe3)≤̃¯̄b  G̃(fe1 , T fe2 , Tfe2) +G̃(fe1 , T fe3 , T fe3) +G̃(fe3 , T fe1 , T fe1) + ¯̄cG̃(fe1 , fe2 , fe3) (2) ∀fe1 , fe2 , fe3∈̃FSC(Ẽ) and 0̃≤̃¯̄a, ¯̄b, ¯̄c<̃1̃ with ˜̃3¯̄b+ ¯̄c<̃¯̄a. Then T has an unique fixed point, say fe, and at fe, T is fuzzy soft G-continuous. Proof. Assume that fe0∈̃FSC(Ẽ) is an arbitrary fuzzy soft element and define the sequence {gen}n∈N as follows: Tge0 = ge1 , T ge1 = ge2 , T ge2 = ge3 , ..., T gen = gen+1 . Consider that gen 6= gen+1 . Substituting fe1 = gen , fe2 = gen+1 and fe3 = gen+1 in (2), we obtain ¯̄aG̃(Tgen , T gen+1 , T gen+1)≤̃¯̄b  G̃(gen , T gen+1 , T gen+1) +G̃(gen+1 , T gen+1 , T gen+1) +G̃(gen+1 , T gen , T gen) + ¯̄cG̃(gen , gen+1 , gen+1) A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 928 ⇒ ¯̄aG̃(gen+1 , gen+2 , gen+2)≤̃¯̄b  G̃(gen , gen+2 , gen+2) +G̃(gen+1 , gen+2 , gen+2) +G̃(gen+1 , gen+1 , gen+1) + ¯̄cG̃(gen , gen+1 , gen+1) ⇒ ¯̄aG̃(gen+1 , gen+2 , gen+2)≤̃ ¯̄b+¯̄c (¯̄a−˜̃2¯̄b) G̃(gen , gen+1 , gen+1) ⇒ ¯̄aG̃(gen+1 , gen+2 , gen+2)≤̃¯̄kG̃(gen , gen+1 , gen+1), where ¯̄k = ¯̄b+¯̄c (¯̄a−˜̃2¯̄b) <̃1̃. On continuing this process (n+ 1) times; we obtain ¯̄aG̃(gen+1 , gen+2 , gen+2)≤̃¯̄k(n+1)G̃(ge0 , ge1 , ge1). Similarly, we will conclude that ¯̄aG̃(gen , gen+1 , gen+1)≤̃¯̄knG̃(ge0 , ge1 , ge1). Next, we show that {gen}n∈N is a fuzzy soft G-Cauchy sequence. Then for all n,m ∈ N, n < m, we have G̃(gen , gem , gem)≤̃G̃(gen , gen+1 , gen+1) + G̃(gen+1 , gen+2 , gen+2) + ...+ G̃(gem−1 , gem , gem) ≤̃(¯̄kn + ¯̄k(n+1) + ...+ ¯̄kmG̃(ge0 , ge1 , ge1) ≤̃ ¯̄kn 1̃−¯̄k G̃(ge0 , ge1 , ge1). Hence, {gen}n∈N is a fuzzy soft G-Cauchy sequence. Since (Ẽ, G̃) is fuzzy soft G-complete, there exists fe∈̃FSC(Ẽ) such that {gen}n∈N fuzzy soft G-converges to fe. Next, we will show that fe is a fixed point of T . For this, we take fe1 = gen and fe2 = fe3 = fe in (3.1), then ¯̄aG̃(Tgen , T fe, T fe)≤̃¯̄b  G̃(gen , T fe, T fe) +G̃(fe, Tfe, Tfe) +G̃(fe, T gen , T gen) + ¯̄cG̃(gen , fe, fe) ⇒ ¯̄aG̃(fe, T fe, T fe)≤̃¯̄b  G̃(fe, T fe, T fe) +G̃(fe, T fe, T fe) +G̃(fe, fe, fe) + ¯̄cG̃(fe, fe, fe). ⇒ G̃(fe, Tfe, Tfe)≤̃ ˜̃2¯̄b ¯̄a G̃((fe, Tfe, Tfe). This is a contradiction, so Tfe = fe i.e. fe is a fixed point of T Now, to prove uniqueness, assume that fe and ge are two fixed points of T . Then by inequality (2), we have ¯̄aG̃(Tfe, T ge, T ge)≤̃¯̄b  G̃(fe, T ge, T ge) +G̃(ge, T ge, T ge) +G̃(ge, T fe, T fe) + ¯̄cG̃(fe, ge, ge) ⇒ ¯̄aG̃(fe, ge, ge)≤̃¯̄b  G̃(fe, ge, ge) +G̃(ge, ge, ge) +G̃(ge, fe, fe) + ¯̄cG̃(fe, ge, ge). So, we deduct that (¯̄a− ¯̄b− ¯̄c)G̃(fe, ge, ge)≤̃¯̄bG̃(ge, fe, fe). ⇒ G̃(fe, ge, ge)≤̃ ¯̄b (¯̄a−¯̄b−¯̄c) G̃(ge, fe, fe) and by use of the same argument, we will find G̃(ge, fe, fe)≤̃ ¯̄b (¯̄a−¯̄b−¯̄c) G̃(fe, ge, ge). A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 929 Therefore, we get G̃(fe, ge, ge)≤̃ ( ¯̄b (¯̄a−¯̄b−¯̄c) )2 G̃(fe, ge, ge), since ˜̃3¯̄b + ¯̄c<̃¯̄a, this is a contra- diction implies that fe = ge. To show that T is fuzzy soft G-continuous at fe. Let {hen}n∈N be a sequence of fuzzy soft elements in Ẽ such that {hen}n∈N → fe, then we can deduce that using inequality (2), we have ¯̄aG̃(Tfe, Then , Then)≤̃¯̄b  G̃(fe, Then , Then) +G̃(hen , Then , Then) +G̃(hen , T fe, T fe) + ¯̄cG̃(fe, hen , hen) ⇒ ¯̄aG̃(fe, Then , Then)≤̃¯̄b  G̃(fe, Then , Then) +G̃(hen , Then , Then) +G̃(hen , fe, fe) + ¯̄cG̃(fe, hen , hen) Taking the limit as n→∞ from which, we see that (ā− ˜̃2¯̄b)G̃(fe, Then , Then)→ 0̃ and so, by proposition (4.1) in [2] we have that the sequence {Then}n∈N is fuzzy soft G-convergent to Tfe = fe, therefore proposition (4.4) in [2] implies that T is fuzzy soft G-continuous at fe. Theorem 3. Suppose (Ẽ, G̃) is a fuzzy soft G-metric space and T : (Ẽ, G̃)→ (Ẽ, G̃) is a mapping satisfying the following condition: ¯̄aG̃(Tfe1 , T fe2 , T fe3) + ¯̄b min  G̃(Tfe1 , T fe2 , T fe3), G̃(fe1 , T fe1 , T fe1), G̃(fe2 , T fe2 , T fe2), G̃(fe3 , T fe3 , T fe3)  ≤̃¯̄cG̃(fe1 , fe2 , fe3) (3) ∀fe1 , fe2 , fe3∈̃FSC(Ẽ) and 0̃≤̃¯̄a, ¯̄b, ¯̄c<̃1̃ with ¯̄c− ¯̄b<̃¯̄a. Then T has an unique fixed point, say fe, and at fe, T is fuzzy soft G-continuous. Proof. Assume that fe0∈̃FSC(Ẽ) is an arbitrary fuzzy soft element and define the sequence {gen}n∈N as follows: Tge0 = ge1 , T ge1 = ge2 , T ge2 = ge3 , ..., T gen = gen+1 . Consider that gen 6= gen+1 . Substituting fe1 = gen , fe2 = gen+1 and fe3 = gen+1 in (3), we obtain ¯̄aG̃(Tgen , T gen+1 , T gen+1) + ¯̄b min  G̃(Tgen , T gen+1 , T gen+1), G̃(gen , T gen , T gen), G̃(gen+1 , T gen+1 , T gen+1), G̃(gen+1 , T gen+1 , T gen+1)  ≤̃¯̄cG̃(gen , gen+1gen+2), ⇒ ¯̄aG̃(gen+1 , gen+2 , gen+2) + ¯̄b min  G̃(gen+1 , gen+2 , gen+2), G̃(gen , gen+1 , gen+1), G̃(gen+1 , gen+2 , T gen+2), G̃(gen+1 , gen+2 , gen+2)  ≤̃¯̄cG̃(gen , gen+1 , gen+1) ⇒ ¯̄aG̃(gen+1 , gen+2 , gen+2) + ¯̄b min { G̃(gen+1 , gen+2 , gen+2), G̃(gen , gen+1 , T gen+1) } ≤̃¯̄cG̃(gen , gen+1 , gen+1) A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 930 We now have two cases: Case (1): If min { G̃(gen+1 , gen+2 , , gen+2), G̃(gen , gen+1 , T gen+1) } = G̃(gen+1 , gen+2 , gen+2), then ¯̄aG̃(gen+1 , gen+2 , gen+2) + ¯̄bG̃(gen+1 , gen+2 , gen+2)≤̃¯̄cG̃(gen , gen+1 , gen+1) ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃ ¯̄c ¯̄a+¯̄b G̃(gen , gen+1 , gen+1) Case (2): If min { G̃(gen+1 , gen+2 , , gen+2), G̃(gen , gen+1 , T gen+1) } = G̃(gen , gen+1 , gen+1), then ¯̄aG̃(gen+1 , gen+2 , gen+2) + ¯̄bG̃(gen , gen+1 , gen+1)≤̃¯̄cG̃(gen , gen+1 , gen+1) ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃ ¯̄c−¯̄b ¯̄a G̃(gen , gen+1 , gen+1) From (1) and (2), we have G̃(gen+1 , gen+2 , gen+2)≤̃¯̄kG̃(gen , gen+1 , gen+1) Similarly, we will conclude that G̃(gen , gen+1 , gen+1)≤̃¯̄kG̃(gen−1 , gen , gen) and so G̃(gen , gen+1 , gen+1)≤̃¯̄knG̃(ge0 , ge1 , ge1) Next, we show that {gen}n∈N is a fuzzy soft G-Cauchy sequence. Then for all n,m ∈ N, n < m, we have ¯̄aG̃(gen , gem , gem)≤̃G̃(gen , gen+1 , gen+1) + G̃(gen+1 , gen+2 , gen+2) + ...+ G̃(gem−1 , gem , gem) ≤̃(¯̄kn + ¯̄k(n+1) + ...+ ¯̄k(m−1))G̃(ge0 , ge1 , ge1) ≤̃ ¯̄kn 1̃−¯̄k G̃(ge0 , ge1 , ge2). Hence, {gen}n∈N is a fuzzy soft G-Cauchy sequence. Since (Ẽ, G̃) is fuzzy soft G-complete, there exists fe∈̃FSC(Ẽ) such that {gen}n∈N fuzzy soft G-converges to fe. Next, we will show that fe is a fixed point of T . For this, we take fe1 = gen and fe2 = fe3 = fe in (3), then ¯̄aG̃(Tgen , Tfe, Tfe) + ¯̄b min  G̃(Tgen , Tfe, T fe), G̃(gen , T gen , T gen), G̃(fe, T fe, Tfe), G̃(fe, T fe, Tfe)  ≤̃¯̄cG̃(gen , fe, fe) As n→∞, we have ¯̄aG̃(fe, T fe, T fe) + ¯̄b min  G̃(fe, T fe, T fe), G̃(fe, T fe, T fe), G̃(fe, T fe, T fe), G̃(fe, Tfe, T fe)  ≤̃¯̄cG̃(fe, fe, fe) ⇒ ¯̄aG̃(fe, T fe, T fe)≤̃0̃, since 0̃≤̃¯̄a<̃1̃ This is a contradiction, so Tfe = fe i.e. fe is a fixed point of T . Now, to prove uniqueness, assume that fe and ge are two fixed points of T . Then by inequality (3), we have ¯̄aG̃(Tfe, T ge, T ge) + ¯̄b min  G̃(Tfe, T ge, T ge), G̃(fe, Tfe, T ge), G̃(ge, T ge, T ge), G̃(ge, T ge, T ge)  ≤̃¯̄cG̃(fe, ge, ge) A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 931 ⇒ G̃(fe, ge, ge)≤̃ ¯̄c ¯̄aG̃(fe, ge, ge), this is a contradiction implies that fe = ge. To show that T is fuzzy soft G-continuous at fe. Let {hen}n∈N be a sequence of fuzzy soft elements in Ẽ such that {hen}n∈N → fe, then we can deduce that using inequality (3), we have ¯̄aG̃(Tfe, Then , Then) + ¯̄b min  G̃(Tfe, Then , Then), G̃(fe, Tfe, Tfe), G̃(hen , Then , Then), G̃(hen , Then , Then)  ≤̃¯̄cG̃(fe, hen , hen) ⇒ ¯̄aG̃(fe, Then , Then) + ¯̄b min  G̃(fe, Then , Then), G̃(fe, fe, fe), G̃(hen , Then , Then), G̃(hen , Then , Then)  ≤̃¯̄cG̃(fe, hen , hen) Taking the limit as n→∞ from which, we see that G̃(fe, Then , Then) → 0̃ and so, by proposition (4.1) in [2] we have that the sequence {Then}n∈N is fuzzy soft G-convergent to Tfe = fe, therefore proposition (4.4) in [2] implies that T is fuzzy soft G-continuous at fe. Theorem 4. Suppose (Ẽ, G̃) is a fuzzy soft G-metric space and T : (Ẽ, G̃)→ (Ẽ, G̃) is a mapping satisfying the following condition: ¯̄aG̃(Tfe1 , Tfe2 , T fe3) + ¯̄b  min { G̃(Tfe1 , T fe2 , T fe2) · G̃(fe1 , Tfe1 , T fe1), G̃(fe1 , fe2 , T fe3) · G̃(fe2 , Tfe2 , Tfe2) } min { G̃(Tfe1 , T fe2 , T fe3) · G̃(fe1 , Tfe1 , T fe1), G̃(fe1 , fe2 , fe3) · G̃(fe2 , T fe2 , T fe2) }  ≤̃¯̄cG̃(fe1 , fe2 , fe2) (4) ∀fe1 , fe2 , fe3∈̃FSC(Ẽ) and 0̃≤̃¯̄a, ¯̄b, ¯̄c<̃1̃ with ¯̄c− ¯̄b<̃¯̄a. Then T has an unique fixed point, say fe, and at fe, T is fuzzy soft G-continuous. Proof. Assume that fe0∈̃FSC(Ẽ) is an arbitrary fuzzy soft element and define the sequence {gen}n∈N as follows: Tge0 = ge1 , T ge1 = ge2 , T ge2 = ge3 , ..., T gen = gen+1 . Consider that gen 6= gen+1 . Substituting fe1 = gen , fe2 = gen+1 and fe3 = gen+1 in (4), we obtain ¯̄aG̃(Tgen , T gen+1 , T gen+1) + ¯̄b  min { G̃(Tgen , T gen+1 , T gen+1) · G̃(gen , T gen , T gen), G̃(gen , gen+1 , gen+1) · G̃(gen+1 , T gen+1 , T gen+1) } min { G̃(Tgen , T gen+1 , T gen+1), G̃(gen , T gen , T gen), G̃(gen , gen+1 , gen+1), G̃(gen+1 , T gen+1 , T gen+1) }  ≤̃¯̄cG̃(gen , gen+1 , gen+1) A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 932 ¯̄aG̃(gen+1 , gen+2 , gen+2) + ¯̄b  min { G̃(gen+1 , gen+2 , gen+2) · G̃(gen , gen+1 , gen+1), G̃(gen , gen+1 , gen+1) · G̃(gen+1 , gen+2 , gen+2) } min { G̃(gen+1 , gen+2 , gen+2), G̃(gen , gen+1 , gen+1), G̃(gen , gen+1 , gen+1), G̃(gen+1 , gen+2 , gen+2) }  ≤̃¯̄cG̃(gen , gen+1 , gen+1) (5) ⇒ ¯̄aG̃(gen+1 , gen+2 , gen+2) + ¯̄b  min  G̃(gen+1 , gen+2 , gen+2) · G̃(gen , gen+1 , gen+1), G̃(gen , gen+1 , gen+1) · G̃(gen+1 , gen+2 , gen+2)  min { G̃(gen+1 , gen+2 , gen+2), G̃(gen , gen+1 , gen+1) }  ≤̃¯̄cG̃(gen , gen+1 , gen+1) We now have four cases: Case (1): If  min  G̃(gen+1 , gen+2 , gen+2) · G̃(gen , gen+1 , gen+1), G̃(gen , gen+1 , gen+1) · G̃(gen+1 , gen+2 , gen+2)  min { G̃(gen+1 , gen+2 , gen+2), G̃(gen , gen+1 , gen+1) } = [{ G̃(gen+1 , gen+2 , gen+2) · G̃(gen , gen+1 , gen+1) } G̃(gen , gen+1 , gen+1) ] = G̃(gen+1 , gen+2 , gen+2) Then, we have ¯̄aG̃(gen+1 , gen+2 , gen+2) + ¯̄bG̃(gen+1 , gen+2 , gen+2)≤̃¯̄cG̃(gen , gen+1 , gen+1) ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃ ¯̄c ¯̄a+¯̄b G̃(gen , gen+1 , gen+1) Case (2): If  min  G̃(gen+1 , gen+2 , gen+2) · G̃(gen , gen+1 , gen+1), G̃(gen , gen+1 , gen+1) · G̃(gen+1 , gen+2 , gen+2)  min { G̃(gen+1 , gen+2 , gen+2), G̃(gen , gen+1 , gen+1) } = [{ G̃(gen+1 , gen+2 , gen+2) · G̃(gen , gen+1 , gen+1) } G̃(gen+1 , gen+2 , gen+2) ] = G̃(gen , gen+1 , gen+1) Then, we have ¯̄aG̃(gen+1 , gen+2 , gen+2) + ¯̄bG̃(gen , gen+1 , gen+1)≤̃¯̄cG̃(gen , gen+1 , gen+1) ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃ ¯̄c−¯̄b ¯̄a G̃(gen , gen+1 , gen+1) Case (3): If  min  G̃(gen+1 , gen+2 , gen+2) · G̃(gen , gen+1 , gen+1), G̃(gen , gen+1 , gen+1) · G̃(gen+1 , gen+2 , gen+2)  min { G̃(gen+1 , gen+2 , gen+2), G̃(gen , gen+1 , gen+1) } = [{ G̃(gen , gen+1 , gen+1) · G̃(gen+1 , gen+2 , gen+2) } G̃(gen , gen+1 , gen+1) ] = G̃(gen+1 , gen+2 , gen+2) Then, we have ¯̄aG̃(gen+1 , gen+2 , gen+2) + ¯̄bG̃(gen+1 , gen+2 , gen+2)≤̃¯̄cG̃(gen , gen+1 , gen+1) ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃ ¯̄c ¯̄a+¯̄b G̃(gen , gen+1 , gen+1) A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 933 Case (4): If  min  G̃(gen+1 , gen+2 , gen+2) · G̃(gen , gen+1 , gen+1), G̃(gen , gen+1 , gen+1) · G̃(gen+1 , gen+2 , gen+2)  min { G̃(gen+1 , gen+2 , gen+2), G̃(gen , gen+1 , gen+1) } = [{ G̃(gen , gen+1 , gen+1) · G̃(gen+1 , gen+2 , gen+2) } G̃(gen+1 , gen+2 , gen+2) ] = G̃(gen , gen+1 , gen+1) Then, we have ¯̄aG̃(gen+1 , gen+2 , gen+2) + ¯̄bG̃(gen , gen+1 , gen+1)≤̃¯̄cG̃(gen , gen+1 , gen+1) ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃ ¯̄c−¯̄b ¯̄a G̃(gen , gen+1 , gen+1) From Cases (1), (2), (3) and (4), we have G̃(gen+1 , gen+2 , gen+2)≤̃¯̄kG̃(gen , gen+1 , gen+1) On continuing this process (n+ 1) times, we have G̃(gen+1 , gen+2 , gen+2)≤̃¯̄kn+1G̃(ge0 , ge1 , ge1) Similarly, we will conclude that G̃(gen , gen+1 , gen+1)≤̃¯̄knG̃(ge0 , ge1 , ge1) Next, we show that {gen}n∈N is a fuzzy soft G-Cauchy sequence. Then for all n,m ∈ N, n < m, we have ¯̄aG̃(gen , gem , gem)≤̃G̃(gen , gen+1 , gen+1) + G̃(gen+1 , gen+2 , gen+2) + ...+ G̃(gem−1 , gem , gem) ≤̃(¯̄kn + ¯̄k(n+1) + ...+ ¯̄k(m−1))G̃(ge0 , ge1 , ge1) ≤̃ ¯̄kn 1̃−¯̄k G̃(ge0 , ge1 , ge2). Hence, {gen}n∈N is a fuzzy soft G-Cauchy sequence. Since (Ẽ, G̃) is fuzzy soft G-complete, there exists fe∈̃FSC(Ẽ) such that {gen}n∈N fuzzy soft G-converges to fe. Next, we will show that fe is a fixed point of T . For this, we take fe1 = gen and fe2 = fe3 = fe in the inequality (4), then from the inequal- ity (5), we have ¯̄aG̃(Tgen , T fe, T fe)+ ¯̄b  min  G̃(Tgen , T fe, T fe) · G̃(gen , T gen , T gen), G̃(gen , fe, fe) · G̃(fe, T fe, T fe)  min  G̃(Tgen , Tfe, Tfe), G̃(gen , T gen , T gen), G̃(gen , fe, fe), G̃(fe, T fe, T fe)   ≤̃¯̄cG̃(gen , fe, fe) As n→∞, we have ¯̄aG̃(fe, Tfe, Tfe) + ¯̄b  min  G̃(fe, Tfe, Tfe) · G̃(fe, fe, fe), G̃(fe, fe, fe) · G̃(fe, Tfe, Tfe)  min  G̃(fe, T fe, T fe), G̃(fe, T fe, T fe), G̃(fe, fe, fe), G̃(fe, Tfe, T fe)   ≤̃¯̄cG̃(fe, fe, fe) ⇒ ¯̄aG̃(fe, T fe, T fe)≤̃0̃, since 0̃≤̃¯̄a<̃1̃. This is a contradiction, so Tfe = fe i.e. fe is a fixed point of T . Now, to prove uniqueness, assume that fe and ge are two fixed points of T . Then by inequality (5), we have A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 934 ¯̄aG̃(Tfe, T ge, T ge) + ¯̄b  min  G̃(Tfe, T ge, T ge) · G̃(ge, T ge, T ge), G̃(fe, ge, ge) · G̃(ge, T ge, T ge)  min  G̃(Tfe, T ge, T ge) · G̃(fe, T fe, T fe), G̃(fe, ge, ge) · G̃(ge, T ge, T ge)   ≤̃¯̄cG̃(fe, ge, ge) ⇒ ¯̄aG̃(fe, ge, ge) + ¯̄b  min  G̃(fe, ge, ge) · G̃(ge, ge, ge), G̃(fe, ge, ge) · G̃(ge, ge, ge)  min  G̃(fe, ge, ge) · G̃(fe, fe, fe), G̃(fe, ge, ge) · G̃(ge, ge, ge)   ≤̃¯̄cG̃(fe, ge, ge) ⇒ G̃(fe, ge, ge)≤̃ ¯̄c ¯̄aG̃(fe, ge, ge), since 0̃≤̃ ¯̄c ¯̄a<̃1̃. This is a contradiction, implies that fe = ge. To show that T is fuzzy soft G-continuous at fe. Let {hen}n∈N be a sequence of fuzzy soft elements in Ẽ such that {hen}n∈N → fe, then we can deduce that using inequality (5), we have ¯̄aG̃(Tfe, Then , Then) + ¯̄b  min  G̃(Tfe, Then , Then) · G̃(fe, Tfe, T fe), G̃(fe, hen , hen) · G̃(fe, T fe, T fe)  min  G̃(Tfe, Then , Then) · G̃(fe, T fe, T fe), G̃(fe, hen , hen) · G̃(fe, Tfe, Tfe)   ≤̃ ¯̄cG̃(fe, hen , hen) ⇒ ¯̄aG̃(fe, Then , Then) + ¯̄b  min  G̃(fe, Then , Then) · G̃(fe, fe, fe), G̃(fe, hen , hen) · G̃(fe, fe, fe)  min  G̃(fe, Then , Then) · G̃(fe, fe, fe), G̃(fe, hen , hen) · G̃(fe, fe, fe)   ≤̃¯̄cG̃(fe, hen , hen) Taking the limit as n→∞ from which, we see that G̃(fe, Then , Then) → 0̃ and so, by proposition (4.1) in [2] we have that the sequence {Then}n∈N is fuzzy soft G-convergent to Tfe = fe, therefore proposition (4.4) in [2] im- plies that T is fuzzy soft G-continuous at fe. Theorem 5. Suppose (Ẽ, G̃) is a fuzzy soft G-metric space and T : (Ẽ, G̃)→ (Ẽ, G̃) is a mapping satisfying the following condition: min  [ G̃(fe1 , T fe1 , T fe1) + G̃(fe1 , T fe2 , T fe2) ] , G̃(Tfe1 , Tfe2 , Tfe3),[ G̃(fe2 , T fe2 , T fe2) + G̃(fe2 , T fe1 , T fe1) ]  ≤̃¯̄aG̃(fe1 , fe2 , fe3) (6) ∀fe1 , fe2 , fe3∈̃FSC(Ẽ) and 0̃≤̃¯̄a<̃1̃. Then T has an unique fixed point, say fe, and at fe, T is fuzzy soft G-continuous. Proof. Assume that fe0∈̃FSC(Ẽ) is an arbitrary fuzzy soft element and define the sequence {gen}n∈N as follows: Tge0 = ge1 , T ge1 = ge2 , T ge2 = ge3 , ..., T gen = gen+1 . Consider that gen 6= gen+1 . Substituting fe1 = gen , fe2 = gen+1 and fe3 = gen+1 in (6), we obtain A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 935 min  [ G̃(gen , T gen , T gen) + G̃(gen , T gen+1 , T gen+1) ] , G̃(Tgen , T gen+1 , T gen+1),[ G̃(gen+1 , T gen+1 , T gen+1) + G̃(gen+1 , T gen , T gen) ]  ≤̃¯̄aG̃(gen , gen+1 , gen+1) ⇒ min  [ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] , G̃(gen+1 , gen+2 , gen+2),[ G̃(gen+1 , gen+2 , gen+2) + G̃(gen+1 , gen+1 , gen+1) ]  ≤̃¯̄aG̃(gen , gen+1 , gen+1) ⇒ min { [ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] , G̃(gen+1 , gen+2 , gen+2) } ≤̃¯̄aG̃(gen , gen+1 , gen+1) (7) We now have two cases: Case (1): If min { [ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] , G̃(gen+1 , gen+2 , gen+2) } = G̃(gen+1 , gen+2 , gen+2) Then, (7) is reduced to G̃(gen+1 , gen+2 , gen+2)≤̃¯̄aG̃(gen , gen+1 , gen+1) Case (2): If min { [ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] , G̃(gen+1 , gen+2 , gen+2) } =[ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] Then, (7) is reduced to G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2)≤̃¯̄aG̃(gen , gen+1 , gen+1) G̃(gen , gen+1 , gen+1) + [ G̃(gen+1 , gen+2 , gen+2)− G̃(gen , gen+1 , gen+1) ] ≤̃¯̄aG̃(gen , gen+1 , gen+1) ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃¯̄aG̃(gen , gen+1 , gen+1) On continuing this process (n+ 1) times; we obtain G̃(gen+1 , gen+2 , gen+2)≤̃¯̄an+1G̃(ge0 , ge1 , ge1) Similarly, we will conclude that G̃(gen , gen+1 , gen+1)≤̃¯̄anG̃(ge0 , ge1 , ge1) Next, we show that {gen}n∈N is a fuzzy soft G-Cauchy sequence. Then for all n,m ∈ N, n < m, we have G̃(gen , gem , gem)≤̃G̃(gen , gen+1 , gen+1) + G̃(gen+1 , gen+2 , gen+2) + ...+ G̃(gem−1 , gem , gem) ≤̃(¯̄an + ¯̄a(n+1) + ...+ ¯̄amG̃(ge0 , ge1 , ge1) ≤̃ ¯̄an 1̃−¯̄a G̃(ge0 , ge1 , ge1). A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 936 Hence, {gen}n∈N is a fuzzy soft G-Cauchy sequence. Since (Ẽ, G̃) is fuzzy soft G-complete, there exists fe∈̃FSC(Ẽ) such that {gen}n∈N fuzzy soft G-converges to fe. Next, we will show that fe is a fixed point of T . For this, we take fe1 = gen and fe2 = fe3 = fe in (6), then min  [ G̃(gen , T gen , T gen) + G̃(gen , Tfe, T fe) ] , G̃(Tgen , T fe, T fe),[ G̃(fe, Tfe, T fe) + G̃(fe, T gen , T gen) ]  ≤̃¯̄aG̃(gen , fe, fe) ⇒ min  [ G̃(fe, fe, fe) + G̃(fe, Tfe, T fe) ] , G̃(fe, T fe, T fe),[ G̃(fe, T fe, T fe) + G̃(fe, fe, fe) ]  ≤̃¯̄aG̃(fe, fe, fe) ⇒ G̃(fe, Tfe, Tfe)≤̃0̃ This is a contradiction, so Tfe = fe i.e. fe is a fixed point of T . Now, to prove uniqueness, assume that fe and ge are two fixed points of T . Then by inequality (6), we have min  [ G̃(fe, fe, fe) + G̃(fe, ge, ge) ] , G̃(fe, ge, ge),[ G̃(ge, ge, ge) + G̃(ge, fe, fe) ]  ≤̃¯̄aG̃(fe, fe, fe) ⇒ G̃(fe, ge, ge)≤̃¯̄aG̃(fe, ge, ge), this is a contradiction implies that fe = ge. To show that T is fuzzy soft G-continuous at fe. Let {hen}n∈N be a sequence of fuzzy soft elements in Ẽ such that {hen}n∈N → fe, then we can deduce that using inequality (6), we have min  [ G̃(fe, Tfe, T fe) + G̃(fe, Then , Then) ] , G̃(Tfe, Then , Then),[ G̃(hen , Then , Then) + G̃(hen , T fe, T fe) ]  ≤̃¯̄aG̃(fe, hen , hen) ⇒ min  [ G̃(fe, fe, fe) + G̃(fe, Then , Then) ] , G̃(fe, Then , Then),[ G̃(hen , Then , Then) + G̃(hen , fe, fe) ]  ≤̃¯̄aG̃(fe, hen , hen) Taking the limit as n→∞ from which, we see that G̃(fe, Then , Then) → 0̃ and so, by proposition (4.1) in [2] we have that the sequence {Then}n∈N is fuzzy soft G-convergent to Tfe = fe, therefore proposition (4.4) in [2] implies that T is fuzzy soft G-continuous at fe. A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 937 Theorem 6. Suppose (Ẽ, G̃) is a fuzzy soft G-metric space and T : (Ẽ, G̃)→ (Ẽ, G̃) is a mapping satisfying the following condition: G̃(Tfe1 , Tfe2 , Tfe3)≤̃¯̄a max  [ G̃(fe1 , T fe1 , Tfe1) + G̃(fe1 , Tfe2 , Tfe2) ] , G̃(fe1 , fe2 , fe3),[ G̃(fe2 , T fe2 , Tfe2) + G̃(fe2 , Tfe1 , Tfe1) ]  (8) ∀fe1 , fe2 , fe3∈̃FSC(Ẽ) and 0̃≤̃¯̄a<̃1̃. Then T has an unique fixed point, say fe, and at fe, T is fuzzy soft G-continuous. Proof. Assume that fe0∈̃FSC(Ẽ) is an arbitrary fuzzy soft element and define the sequence {gen}n∈N as follows: Tge0 = ge1 , T ge1 = ge2 , T ge2 = ge3 , ..., T gen = gen+1 . Consider that gen 6= gen+1 . Substituting fe1 = gen , fe2 = gen+1 and fe3 = gen+1 in (8), we obtain G̃(Tgen , T gen+1 , T gen+1)≤̃¯̄a max  [ G̃(gen , T gen , T gen) + G̃(gen , T gen+1 , T gen+1) ] , G̃(gen , gen+1 , gen+1),[ G̃(gen+1 , T gen+1 , T gen+1) + G̃(gen+1 , T gen , T gen) ]  ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃¯̄a max  [ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] , G̃(gen , gen+1 , gen+1),[ G̃(gen+1 , gen+2 , gen+2) + G̃(gen+1 , gen+1 , gen+1) ]  ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃¯̄a max { [ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] , G̃(gen , gen+1 , gen+1), G̃(gen+1 , gen+2 , gen+2) } (9) We now have three cases: Case (1): If max { [ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] , G̃(gen , gen+1 , gen+1), G̃(gen+1 , gen+2 , gen+2) } =[ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] Then, (9) is reduced to G̃(gen+1 , gen+2 , gen+2)≤̃¯̄a [ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃ ¯̄a 1̃−˜̃a G̃(gen , gen+1 , gen+1) Case (2): If max { [ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] , G̃(gen , gen+1 , gen+1), G̃(gen+1 , gen+2 , gen+2) } = G̃(gen , gen+1 , gen+1) Then, (9) is reduced to ⇒ G̃(gen+1 , gen+2 , gen+2)≤̃¯̄aG̃(gen , gen+1 , gen+1) Case (3): Ifmax { [ G̃(gen , gen+1 , gen+1) + G̃(gen , gen+2 , gen+2) ] , G̃(gen , gen+1 , gen+1), G̃(gen+1 , gen+2 , gen+2) } = G̃(gen+1 , gen+2 , gen+2) A. F. Sayed, A. Alahmari / Eur. J. Pure Appl. Math, 14 (3) (2021), 923-941 938 Then, (9) is reduced to G̃(gen+1 , gen+2 , gen+2)≤̃¯̄aG̃(gen+1 , gen+2 , gen+2), which is a contradiction. From cases (1), (2) and (3); we have G̃(gen+1 , gen+2 , gen+2)≤̃¯̄aG̃(gen , gen+1 , gen+1) On continuing this process (n+ 1) times; we have G̃(gen+1 , gen+2 , gen+2)≤̃¯̄an+1G̃(ge0 , ge1 , ge1) Similarly, we will conclude that G̃(gen , gen+1 , gen)≤̃¯̄aG̃(gen , gen+1 , gen+1) Next, we show that {gen}n∈N is a fuzzy soft G-Cauchy sequence. Then for all n,m ∈ N, n < m, we have G̃(gen , gem , gem)≤̃G̃(gen , gen+1 , gen+1) + G̃(gen+1 , gen+2 , gen+2) + ...+ G̃(gem−1 , gem , gem) ≤̃(¯̄an + ¯̄a(n+1) + ...+ ¯̄amG̃(ge0 , ge1 , ge1) ≤̃ ¯̄an 1̃−¯̄a G̃(ge0 , ge1 , ge1). Hence, {gen}n∈N is a fuzzy soft G-Cauchy sequence. Since (Ẽ, G̃) is fuzzy soft G-complete, there exists fe∈̃FSC(Ẽ) such that {gen}n∈N fuzzy soft G-converges to fe. Next, we will show that fe is a fixed point of T . For this, we take fe1 = gen and fe2 = fe3 = fe in (8), then G̃(Tgen , Tfe, Tfe)≤̃¯̄a max  [ G̃(gen , T gen , T gen) + G̃(gen , Tfe, Tfe) ] , G̃(gen , fe, fe),[ G̃(fe, Tfe, Tfe) + G̃(fe, T gen , T gen) ]  ⇒ G̃(fe, T fe, T fe)≤̃¯̄a max  [ G̃(fe, fe, fe) + G̃(fe, Tfe, T fe) ] , G̃(fe, fe, fe),[ G̃(fe, T fe, T fe) + G̃(fe, fe, fe) ]  ⇒ G̃(fe, T fe, T fe)≤̃¯̄aG̃(fe, T fe, T fe) ⇒ (1̃− ¯̄a)G̃(fe, T fe, T fe)≤̃0̃ This is a contradiction, so Tfe = fe i.e. fe is a fixed point of T . Now, to prove uniqueness, assume that fe and ge are two fixed points of T . Then by inequality (8), we have G̃(Tfe, T ge, T ge)≤̃¯̄a max  [ G̃(fe, Tfe, Tfe) + G̃(fe, T ge, T ge) ] , G̃(fe, ge, ge),[ G̃(ge, T ge, T ge) + G̃(ge, T fe, T fe) ]  ⇒ G̃(fe, ge, ge)≤̃¯̄a max  [ G̃(fe, fe, fe) + G̃(fe, ge, ge) ] , G̃(fe, ge, ge),[ G̃(ge, ge, ge) + G̃(ge, fe, fe) ]  ⇒ G̃(fe, ge, ge)≤̃¯̄a max { G̃(fe, ge, ge), G̃(ge, fe, fe) } We now have two cases: Case (I): If max { G̃(fe, ge, ge), G̃(ge, fe, fe) } = G̃(fe, ge, ge), then we get REFERENCES 939 G̃(fe, ge, ge)≤̃¯̄aG̃(fe, ge, ge) This is a contradiction implies that fe = ge Case (II): If max { G̃(fe, ge, ge), G̃(ge, fe, fe) } = G̃(ge, fe, fe), then we get G̃(fe, ge, ge)≤̃¯̄aG̃(ge, fe, fe) So, we deduct that G̃(fe, ge, ge)≤̃¯̄aG̃(ge, fe, fe). By repeated use of the same argument, we will find G̃(ge, fe, fe)≤̃¯̄aG̃(fe, ge, ge). Therefore, we get G̃(fe, ge, ge)≤̃¯̄a2G̃(ge, fe, fe). Since ¯̄a<̃( ˜̃ 1/2), this is a contradiction implies that fe = ge To show that T is fuzzy soft G-continuous at fe. Let {hen}n∈N be a sequence of fuzzy soft elements in Ẽ such that {hen}n∈N → fe, then by using inequality (8), we can deduce that G̃(fe, Then , Then) = G̃(Tfe, Then , Then)≤̃ ¯̄a max  [ G̃(fe, Tfe, Tfe) + G̃(fe, Then , Then) ] , G̃(fe, hen , hen),[ G̃(hen , Then , Then) + G̃(hen , T fe, T fe) ]  ⇒ G̃(fe, Then , Then)≤̃¯̄aG̃(fe, Then , Then) ⇒ (1̃− ¯̄a)G̃(fe, Then , Then)≤̃0̃ Taking the limit as n→∞ from which, we see that G̃(fe, Then , Then) → 0̃ and so, by proposition (4.1) in [2] we have that the sequence {Then}n∈N is fuzzy soft G-convergent to Tfe = fe, therefore proposition (4.4) in [2] im- plies that T is fuzzy soft G-continuous at fe. 4. Conclusion In this paper, some new results of fixed points for mappings satisfying different condi- tions in fuzzy soft G-metric spaces were presented and proved. We’ll hope to improve the search performance even more in the future for some more important results in this space. Acknowledgements The authors are very grateful to the editor and the reviewers for their valuable sug- gestions. References [1] B Ahmad and A Kharal. On fuzzy soft sets. Adv. Fuzzy Syst., 2009:6 pages, 2009. [2] A F Sayed A Alahmari and S Omran. On Fuzzy Soft G-Metric Spaces. Journal of Advances in Mathematics and Computer Science, 27(6):1–15, 2018. REFERENCES 940 [3] M Akram N O Alshehri and R S Alghamdi. Fuzzy soft K-algebras. Utilitas Mathe- matica, 90:307–325, 2013. [4] S Atmaca and I Zorlutuna. On fuzzy soft topological spaces. Ann. Fuzzy Math. Inform., 5(2):377–386, 2013. [5] W Shatanawi M Abbas H Aydi and N Tahat. Common coupled coincidence and cou- pled fixed points in G-metric spaces. Nonlinear Analysis and Application, 2012(Article ID jnaa-00162):16 pages, 2012. [6] A Aygüunoĝlu and H Aygün. Introduction to fuzzy soft groups. Comput. Math. Appl., 58(6):1279–1286, 2009. [7] T Beaulaa and C Gunaseeli. On fuzzy soft metric spaces. Malaya J. Mat., 2(3):197– 202, 2009. [8] P K Maji R Biswas and A R Roy. Fuzzy soft sets. J. Fuzzy Math., 9(3):589–602, 2001. [9] P K Maji R Biswas and A R Roy. Soft set theory. Comput. Math. Appl., 45:555–562, 2003. [10] A Ç Güler and E D Yildirim. A not on soft G-metric spaces about fixed point theorems. Ann. Fuzzy Math. Inform., 12(5):691–701, 2016. [11] A Ç Güler E D Yildirim and O B Ozbakir. A fixed point theorem on soft G-metric spaces. J. Nonlinear Sci. Appl., 9:885–894, 2016. [12] Z Kong L Gao and L Wang. Comment on a fuzzy soft set theoretic approach to decision making problems. J. Comput. Appl. Math., 223(2):540–542, 2009. [13] F Gu and W Shatanawi. Common fixed point for generalized weakly G-contraction mappings satisfying common (E.A) property in G-metric spaces. Fixed Point Theory and Appl., 2013(309):1–15, 2013. [14] C Gunaseeli. Some Contributions to Special Fuzzy Topological Spaces. The- sis submitted to the Bharathidasan University, Tiruchirappalli in partial fulfill- ment of the requirements for the Degree of Doctor of Philosophy in Mathematics, Ref.No.16690/Ph.D./Mathematics Full-Time/July 2012, Bharathidasan University, 2012. [15] F Feng H Fujita Y B Jun and M Khan. Decomposition of fuzzy soft sets with finite value spaces. The Scientific World J., 2014(Article ID 902687):10 pages, 2014. [16] A Kharal and B Ahmad. Mappings on fuzzy soft classes. Fuzzy Syst., 2009(Article ID 407890):6 pages, 2009. REFERENCES 941 [17] R Shrivastava S Khare and S Garg. Fixed point Results with Soft G- Metrc spaces. Computer Engineering and Intelligent Systems, 9(7):29–40, 2018. [18] F Feng Y B Jun X Y Liu and L F Li. An adjustable approach to fuzzy soft set based decision making. J. Comput. Appl. Math., 234(1):10–20, 2010. [19] D Molodtsov. Soft set theory first results. Comput. Math. Appl., 8(4-5):19–31, 1999. [20] Z Mustafa and B Sims. A new approach to generalized metric spaces. J. Nonlinear Convex Anal., 7(2):289–297, 2006. [21] Z Mustafa and B Sims. Fixed point theorems for contractive mappings in complete G -metric spaces. Fixed Point Theory Appl., 2009(Article ID 917175):10 pages, 2009. [22] A R Roy and P K Maji. A fuzzy soft set theoretic approach to decision making problems. J. Comput. Appl. Math., 203(2):412–418, 2007. [23] P K Maji A R Roy and R Biswas. An application of soft sets in a decision making problem. Comput. Math. Appl., 44(8-9):1077–1083, 2002. [24] Y J Cho B E Rhoades R Saadati B Samet and W Shatanawi. Nonlinear coupled fixed point theorems in ordered generalized metric spaces with integral type. Fixed Point Theory and Appl., 2012(8):1–14, 2012. [25] A F Sayed and A Alahmari. Fuzzy soft α− ψ−contractive type mappings and some fixed point theorems in fuzzy soft metric spaces. Ann. Fuzzy Math. Inform., 15(1):73– 87, 2018. [26] M Abbas T Nazir W Shatanawi and Z Mustafa. Fixed and related fixed point theorems for three maps in G-metric spaces. Hacet. J. Math. Stat., 41:291–306, 2012. [27] W Shatanawi. Fixed point theory for contractive mappings satisfying Φ-maps in G-metric spaces. Fixed Point Theory Appl., 2010(Article ID 181650):9 pages, 2010. [28] W Shatanawi. Some fixed point theorems in ordered G-metric spaces and applications. Abstr. Appl. Anal, 2011(Article ID 126205):11 pages, 2011. [29] W Shatanawi and M Abbas. Some fixed point results for multi valued mappings in ordered G-metric spaces. Gazi University Journal of Science, 25:385–392, 2012. [30] W Shatanawi and M Postolache. Some fixed point results for a G-weak contraction in G-metric spaces. Abstr. Appl. Anal., 2012(Article ID 815870):19 pages, 2012. [31] T J Neog D K Sut and G C Hazarika. Fuzzy soft topological spaces. Int. J. Latest Trends in Math., 2:54–67, 2012. [32] L A Zadeh. Fuzzy sets. Information and Control, 8:338–353, 1965.