Plane Thermoelastic Waves in Infinite Half-Space Caused


Operational Research in Engineering Sciences: Theory and Applications 
Vol. 1, issue 1, 2018, pp.29-39 
ISSN: 2620-1607 
eISSN: 2620-1747 

 DOI: https://doi.org/10.31181/oresta19012010129s 

* Corresponding author. 
E-mail addresses: dstanujkic@tfbor.bg.ac.rs (D. Stanujkić), darjankarabasevic@gmail.com (D. 
Karabašević) 

AN EXTENSION OF THE WASPAS METHOD FOR 
DECISION-MAKING PROBLEMS WITH INTUITIONISTIC 

FUZZY NUMBERS: A CASE OF WEBSITE EVALUATION 

Dragiša Stanujkić1*, Darjan Karabašević2 

1 Technical Faculty in Bor, University of Belgrade, Bor, Serbia 
2 Faculty of Applied Management, Economics and Finance, University Business 

Academy in Novi Sad, Belgrade, Serbia 
 
Received: 16 September 2018 

Accepted: 01 November 2018 

Published: 19 December 2018 
 

Original Scientific paper 

Abstract: The use of fuzzy sets in classical multiple criteria decision-making methods 
has led to forming fuzzy multiple criteria decision-making that has enabled solving of a 
significantly larger number of decision-making problems. However, the membership 
function introduced in the fuzzy set theory has some limitations. Unlike the fuzzy set 
theory, the intuitionistic fuzzy set theory introduces non-membership function. 
Therefore, the intuitionistic fuzzy set theory, as an extension of the fuzzy set theory, can 
provide for some advantages in solving complex decision-making problems. The 
WASPAS method is a newly-proposed, widely-used multiple criteria decision-making 
method for which numerous extensions have already been proposed. In order to enable 
the use of the WASPAS method for solving a significantly larger number of decision-
making problems, a new extension based on the use of intuitionistic fuzzy numbers is 
proposed in this article. Compared to similar extensions, the proposed extension is based 
on the use of the Hamming distance for the purpose of ranking alternatives. Efficiency 
and usability of the proposed approach are considered on the example of website 
evaluation. Based on the successfully conducted numerical example of the website 
evaluation it can be concluded that the proposed extension of the WASPAS method 
based on the use of single-valued intuitionistic fuzzy sets and of the Hamming distance 
has proven to be very effective and applicable when it comes to website evaluation. 
Besides, usability of the proposed extension is demonstrated on the example of website 
evaluation. In doing so, the same order ranking order of the considered alternatives is 
obtained using the proposed ranking procedure and the procedure based on the score 
function, which confirms the correctness of the proposed procedure. 

Key Words: WASPAS, Intuitionistic Fuzzy Set, Single-valued Intuitionistic Fuzzy 
Number, Hamming Distance, Website Evaluation 



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30 
 

1. Introduction  

In recent decades, the Multiple Criteria Decision Making (MCDM) has 
successfully been applied for the purpose of solving numerous decision-making 
problems. Significant progress in the MCDM was made after Zadeh (1965) had 
proposed his fuzzy sets theory on the basis of which Bellman and Zadeh (1970) also 
proposed the Fuzzy Multiple Criteria Decision Making, thus enabling the solving of 
many real-world problems in a much more adequate manner.  

Evident progress was also made after Atanasov (1986) had proposed the 
Intuitionistic Fuzzy Sets (IFS) theory as an extension of the fuzzy sets theory, which 
additionally introduces not belonging to a given set. Up to now, the IFS has been 
successfully used to solve many decision-making problems such as: Szmidt and 
Kacprzyk (1996), Atanassov et al. (2002, 2017), Wei (2011), Xu (2011), Shen et al. 
(2015), Xu and Liao (2015), Oztaysi et al. (2017); besides, it has also got significant 
extensions. 

Moreover, there is a number of MCDM methods adapted for the use of IFS such 
as TOPSIS (Tan, 2011), VIKOR (Devi, 2011).), PROMETHEE (Krishankumar et al. 
2017), WASPAS (Zavadskas, 2014), and so on. 

The weighted aggregated sum product assessment (WASPAS) method was 
proposed by Zavadskas et al. (2012) for solving different problems such as: 
contractor selection (Zavadskas et al. 2015), construction site selection (Stević et al. 
2018; Turskis et al. 2015), supplier selection (Stojić et al. 2018; Keshavarz Ghorabaee 
et al. 2016), logistics (Sremac et al. 2018; Keshavarz Ghorabaee et al. 2017), garage 
location selection (Bausys, Juodagalviene, 2017), telecommunications (Mishra et al. 
2018; Peng, Dai, 2017) manufacturing decision-making (Chakraborty, Zavadskas 
2014; Jahan, 2018), personnel selection (Urosevic et al. 2017) and so on. Also, a 
systematic and comprehensive review of the application of the WASPAS method is 
given by Mardani et al. (2017).  

A number of extensions of the WASPAS method have also been proposed. For 
example, Zavadskas et al. (2015a, 2015b) have proposed neutrosophic and grey 
extensions of the WASPAS method. Zavadskas et al. (2014) also proposed an 
extension that allows the use of interval-valued intuitionistic fuzzy numbers. 

In order to enable the use of the WASPAS method for solving a significantly 
larger number of decision-making problems, an extension based on the use of 
intuitionistic fuzzy numbers is proposed in this article. Compared to similar 
extensions, the proposed extension is based on the use of the Hamming distance for 
the purpose of ranking alternatives. On the other hand, websites could have a very 
important role in modern companies; that is why their evaluation is chosen to 
demonstrate efficiency and usability of the proposed approach. Because of their 
growing importance, there has been an increasing attention paid to evaluation of 
their quality. One of the increasingly used methods for evaluating their quality is the 
approach based on the use of the MCDM method. Some of those approaches can be 
mentioned here, such as: Pamučar et al. (2018), Abdel-Basset et al.  (2018), Chou et 
al.  (2012), and Bilsel et al.  (2016). 

Therefore, this paper is organized as follows: In Section 2 some basic elements 
of the IFSs theory as well as some elements relevant to the proposed approach are 
discussed. In Section 3, the WASPAS method is presented and one extension adapted 



An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy 
numbers: a case of website evaluation 

 

31 
 

 

for use IFSs is proposed, and in Section 4, efficiency and usability of the proposed 
approach are considered on an example of a website evaluation problem. Finally, the 
conclusions are given. 

2. Preliminaries 

In this section some basic definitions and notations relevant for the proposed 
approach are discussed. 

2.1 The basic concepts of intuitionistic fuzzy sets 

Atanassov Intuitionistic Fuzzy Sets. An IFS A
~

 in X can be defined as follows: 









 XxxxxA AA  )(),( ,
~

   (1)

 

where: )(xA  and )(xA  denote the degree of the membership and the degree of the 

non-membership of the element x to set A, respectively; ]1 ,0[: XA  and 

]1 ,0[: XA , with the following condition 

.1)()(0  xx AA   (2) 

2. 2 Intuitionistic Fuzzy Numbers  

The IFSs theory proposes several shapes of Intuitionistic Fuzzy Numbers 
(IFNs). Triangular and trapezoidal shapes can be mentioned as significant ones. 

In addition to the above mentioned shapes, the singleton (single-valued) shape can be 

pointed out as a characteristic one. A single-valued IFN A
~

, aaA  ,
~

, shown in 

Fig. 1, is defined with membership )(x
A

  and non-membership )(x
A

  function, 
respectively, as follows: 



 


;0

,1
)(

otherwise

ax
x                    (2)

 



 


;0

1
)(

otherwise

ax
x                    (3)

 

where: parameter a indicates the most promising value that describes belonging to a 
set, parameter a' indicates the most promising value that describes not-belonging to a 
set 



Stanujkić and Karabašević/Oper. Res. Eng. Sci. Theor. Appl. 1 (1) (2018) 29-39  

 

32 
 

 

Fig. 1 A singleton IFN 

Basic operations on IFNs. Let aaA   ,
~

 and bbB   ,
~

 be two IFNs. The 

operations of addition and multiplication on IFNs are as follows (Atanassov 1994): 

baabbaBA  ,
~~

 (4) 

babaabBA  ,
~~

 (5) 


 aaA  ,)1(1

~

 (6) 


)1(1 ,

~
aaA 

 (7) 

Score function of IFNs. Let be a single-valued IFN. Then, the score is as follows 

aaS
A

~ , (8)

 
where ]1  ,1[~ 

A
S .  

The Hamming distance of IVIFNs. Let aaA   ,
~

 and bbB   ,
~

 be two IFNs. 

Then, the Hamming distance dH is as follows 

|)||(|
2

1
)

~
,

~
( babaBAdH   (9) 

Intuitionistic Weighted Arithmetic Mean operator of single-valued  IFNs. Let 

jjj
aaA   ,

~
 be a collection of n single valued IFNs. Then, the Intuitionistic 

Weighted Arithmetic Mean (IWAM) operator is as follows (Tikhonenko-Kędziak, 
Kurkowski, 2016): 

  


n

j

w

j

n

j

w

j
jj aaIWAM

11

)(,)1(1  (10)

 

1 

1 

0 x 

)( x

)( x

a

a



An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy 
numbers: a case of website evaluation 

 

33 
 

 

where: 
j

w denote weight of j-th element of collection, ]1 ,0[jw  and 11  
n
j jw . 

Intuitionistic Fuzzy Weighted Geometric operator of IFSs. Let 
jjj

aaA   ,
~

 be a 

collection of n single-valued IFNs. Then, the Intuitionistic Fuzzy Weighted Geometric 
(IFWG) operator is as follows (Tikhonenko-Kędziak, Kurkowski, 2016): 

 


n

j

w

j

wn

j
j

jj aaIFWG
11

)1(1,)(  (11) 

where: 
j

w denote weight of j-th element of collection, ]1 ,0[jw  and 11  
n
j jw . 

3. WASPAS method 

The basic idea of the WASPAS method is that it integrates two well-known 
approaches: weighted sum (WS) and weighted product (WP). The computational 
procedure of the WASPAS method for a decision-making problem involving only the 
beneficial criteria can be presented as follows: 

Step 1 Determine the optimal performance rating for each criterion as follows: 

ij
i

j xx max0 
 (12) 

where jx0  denotes the optimal performance rating of j-th criterion, ijx  denotes the 

performance rating of i-th alternative in relation to the j-th criterion. 

Step 2 Construct the normalized decision matrix, as follows: 

j

ij
ij

x

x
r

0

  (13) 

where ijr  denotes the normalized performance rating of i-th alternative in relation to 

the j-th criterion. 

Step 3 Calculate the importance of each alternative based on WS method 
ws
iQ as follows: 




n

j
ijj

ws
i rwQ

1

  (14) 

Step 4 Calculate the importance of each alternative based on WP method 
wp
iQ  

as follows: 




n

j

w
ij

wp
i

jrQ
1

 (15) 



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34 
 

Step 5 Calculate the overall importance of each alternative iQ as follows:  

)(5.0
wp
i

ws
ii QQQ   (16) 

3.1 An extension of WASPAS method based on the application of IFN and group 

decision-making 

One extension of the WASPAS method proposed with the aim to enable the use 
of IFN in a group environment is presented in this section. 

At the very beginning, it can be said that normalization is not necessary in this 
approach. The normalization process, in MCDM methods, is used for the following 
reasons: 

 to transform performance ratings in the interval (0,1], and  
 to transform performance ratings of cost criteria into adequate beneficial 

criteria. 

However, as has already been stated, the values of IFN already belong to [0, 1] 
interval, which makes no need for normalization in this extension of the WASPAS 
method. Therefore, the procedure of the proposed extension could be precisely 
presented by using the following steps: 

Step 1 Form a group decision-making matrix based on individual decision-
making matrices, which can be carried out using Eq. (10). 

Step 2 Determine the group criteria weights. In the scientific literature, a 
number of methods for determining criteria weights are proposed, and each of them 
can be used in this approach. 

Step 3 Calculate the importance based on the WS approach, for each 
alternative, by using Eq. (10). 

Step 4 Calculate the importance based on the WP approach, for each 
alternative, by using Eq. (11). 

Step 5 Calculate the overall importance of each alternative iQ
~

. In this step, 

iQ
~

is calculated by using Eq (5). However, taking into account that the values of 

ws
iQ

~
and 

wp
iQ

~
are IFNs, the calculation must be carried out by using Eqs. (4) and (7). 

Step 6 Rank the alternatives and select the most acceptable one. Ranking of 
IFNs can be done based on the value of their score functions, which is an often used 
approach. However, the use of the Hamming distance is recommended in this 
approach, where the distance of each alternate is determined in relation to the ideal 
point <1, 0>. 

Finally, the alternative that has the least distance from the ideal point is the 
most acceptable one. 



An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy 
numbers: a case of website evaluation 

 

35 
 

 

4. A Numerical Example 

In order to provide for a detailed explanation of the proposed approach an 
example of websites evaluation, borrowed from Stanujkic et al. (2015), is considered. 
In this example, three websites are evaluated based on the following criteria: 

 Environment (E), 

 Content (C), 

 Graphics (G), and 

 Authority (A). 

The ratings obtained from three respondents are shown in Tables 1, 2 and 3. 

Table 1 Ratings obtained from the first of three respondents  

Criteria 
Alternatives 

En Co Gr Au 

A1 <0.625,0.125> <0.625,0.375> <0.625,0.250> <0.375,0.250> 
A2 <0.625,0.375> <0.750,0.125> <0.625,0.125> <0.500,0.250> 
A3 <0.750,0.125> <0.500,0.125> <0.625,0.375> <0.375,0.125> 

Table 2 Ratings obtained from the second of three respondents  

Criteria 
Alternatives 

En Co Gr Au 

A1 <0.875,0.125> <0.625,0.375> <0.625,0.250> <0.375,0.250> 
A2 <0.750,0.250> <0.750,0.250> <0.625,0.125> <0.500,0.250> 
A3 <0.750,0.125> <0.500,0.125> <0.500,0.250> <0.375,0.125> 

Table 3 Ratings obtained from the third of three respondents  

Criteria 
Alternatives 

En Co Gr Au 

A1 <0.625,0.125> <0.625,0.375> <0.500,0.250> <0.375,0.250> 
A2 <0.250,0.375> <0.750,0.125> <0.500,0.125> <0.500,0.250> 
A3 <0.625,0.250> <0.500,0.125> <0.625,0.375> <0.250,0.375> 

The group ratings, determined by using Eq. (10), and criteria weights are 
shown in Table 4. In this calculation, the following weights were assigned to the 
respondents: 0.35, 0.34, 0.31. The importance of the considered alternatives based on 
the WS approach, calculated by using Eq. (10), are shown in Table 5. The importance 
of the considered alternatives based on the WP approach, calculated by using Eq. 
(11), are also shown in Table 5.  

 

 

 

 



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36 
 

Table 4 Group ratings and criteria weights 

Criteria En Co Gr Au 
Weights 

Alternatives 
0.28 0.25 0.24 0.23 

A1 <0.742,0.125> <0.625,0.375> <0.590,0.250> <0.375,0.250> 
A2 <0.595,0.327> <0.750,0.158> <0.590,0.125> <0.500,0.250> 
A3 <0.717,0.155> <0.500,0.125> <0.586,0.327> <0.339,0.176> 

Table 5 Overall ratings and ranking order of alternatives  

 WS WP iQ
~

 Hd Rank 

A1 <0.609,0.229> <0.572,0.253> <0.591,0.241> 0.325 3 
A2 <0.622,0.202> <0.604,0.222> <0.613,0.212> 0.300 1 
A3 <0.562,0.181> <0.522,0.198> <0.543,0.190> 0.323 2 

The overall importance of the considered alternatives, calculated by using Eqs. 
(4) and (7), as well as ranking order of the considered alternatives, are also shown in 
Table 5. 

As can be seen from Table 5, the most appropriate alternative is alternative 
denoted as A2. 

For the purpose of verifying the proposed approach, the result of ranking 
alternatives based on the use of score function is shown in Table 6. 

Table 6 Values of the score function and the ranking order of alternatives 

 Si Rank 
A1 0.190 3 
A2 0.210 1 
A3 0.190 2 

As can be seen from Table 6, the results obtained by using the Hamming 
distance and the score function are identical, which confirms accuracy of the 
proposed approach. 

5. Conclusions 

In this article, an extension of the WASPAS method that allows the use of 
single-valued intuitionistic fuzzy numbers and the Hamming distance is proposed. 
Due to the use of intuitionistic numbers, the proposed extension allows the formation 
of multiple criteria decision-making models using a smaller number of criteria, which 
can be more appropriate in some cases. 

In numerous extensions of many multiple criteria decision-making methods, 
the ranking of intuitionistic fuzzy numbers is mainly based on the use of the score 
function. Therefore, a ranking based on the Hamming distance is suggested in the 
proposed extension of the WASPAS method. 

Usability of the proposed extension is demonstrated on an example of website 
evaluation. In doing so, the same order ranking order of the considered alternatives 



An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy 
numbers: a case of website evaluation 

 

37 
 

 

was obtained using the proposed ranking procedure and the procedure based on the 
score function, which confirms the correctness of the proposed procedure. 

The proposed approach is based on the Intuitionistic Set theory, which is a 
generalization of the fuzzy logic. Therefore, there are currently no significant 
limitations in the application of the proposed approach. The only real limitation that 
is observed is the gathering of the interviewees' realistic attitudes, which can be 
overcome by preparing interviewees or by using interactive questionnaires. On the 
other hand, with the adjusted set of evaluation criteria, the proposed model can be 
applied to solving similar problems. 

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license (http://creativecommons.org/licenses/by/4.0/).