The Triangular Intuitionistic Fuzzy Extension of the CODAS Method for Solving Multi-Criteria Group Decision Making

Remadi, Fedia Daami; Frikha, Hela Moalla

doi:10.1109/octa49274.2020.9151786

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Zhang, 2018;Garg & Kaur, 2020;Darko & Liang, 2020, 2020H. Li et al, 2021;Akram et al, 2021;Ashraf et al, 2020;Remadi & Frikha, 2020). However, limited research has addressed developing the initial aggregation phase of generating intuitionistic fuzzy numbers and its extension from decision makers' decision information for MCGDM problems (Yue, 2008;Yue et al, 2008Yue et al, , 2009Yue, 2011;Yue & Jia, 2013;Yue, 2014a;Lin & Zhang, 2016;Wan, Xu & Dong, 2016).…”

Section: Introductionmentioning

confidence: 99%

A novel aggregation method for generating Pythagorean fuzzy numbers in multiple criteria group decision making: An application to materials selection

2021

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Pythagorean Fuzzy Numbers are more capable of modeling uncertainties in real-life decision-making situations than Intuitionistic Fuzzy Numbers. Majority of research in Pythagorean Fuzzy Numbers, used in Multiple Criteria Decision-Making problems, has focused on developing operators and decisionmaking frameworks rather than the methodologies of generating the Pythagorean Fuzzy Numbers. Hence, this study aims at developing a novel aggregation method to generate Pythagorean Fuzzy Numbers from decision makers' crisp data for Multiple Criteria Decision-Making problems. The aggregation method differs from other methods, used in generating Intuitionistic Fuzzy Numbers, by its ability to measure the uncertainty degrees in decision makers' information and using them to generate Pythagorean Fuzzy Numbers. Initially, decision makers evaluate alternatives based on preset criteria using crisp decisions (i.e., crisp numbers) which are assigned by decision makers. A normalization

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