2020
DOI: 10.22436/jmcs.023.01.05
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Multiple criteria decision making based on bipolar picture fuzzy sets and extended TOPSIS

Abstract: The notion of bipolar fuzzy sets (B p FSs) has got much attention from the experts or decision-makers (DMs). B p FSs have ample information in the form of two degrees called the positive belonging degree (P v BD) and a negative belonging degree (N v BD). In this article, we introduced the concept of bipolar picture fuzzy sets (BP c FSs) by connecting the concepts of B p FSs and picture fuzzy sets (P c FSs). Firstly, we presented the concept, operational rules, score, and accuracy functions of BP c FSs. Secondl… Show more

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Cited by 10 publications
(3 citation statements)
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“…Several MCDM approaches have been created in the current decade [26] and used in many fields, such as supplier selection [27,28] and project management development [29]. Sindhu et al [30,31] proposed a TOPSISbased assessment approach for PFSs to address MCDM problems.…”
Section: Introductionmentioning
confidence: 99%
“…Several MCDM approaches have been created in the current decade [26] and used in many fields, such as supplier selection [27,28] and project management development [29]. Sindhu et al [30,31] proposed a TOPSISbased assessment approach for PFSs to address MCDM problems.…”
Section: Introductionmentioning
confidence: 99%
“…An illustrative example is used to demonstrate the developed approach, and the result is compared with some of the current ranking approaches in the PF environment. In future work, we shall continue working in the extension and application of the possibility measure to the other domain [28][29][30].…”
Section: Discussionmentioning
confidence: 99%
“…Fuzzy sets (FSs) theory has been a popular method for dealing with uncertainty in DM g situations in recent years. Furthermore, the linear programming (LP) presented in [9] was used to calculate the weights of criteria [10][11][12] based on decision-makers' evaluations. e F r F-TOPSIS approach was created in a variety of fuzzy situations.…”
Section: Introductionmentioning
confidence: 99%