2023
DOI: 10.3846/tede.2023.17589
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Edas Method for Multiple Attribute Group Decision Making With Probabilistic Dual Hesitant Fuzzy Information and Its Application to Suppliers Selection

Abstract: Probabilistic dual hesitant fuzzy set (PDHFS) is a more powerful and important tool to describe uncertain information regarded as generalization of hesitant fuzzy set (HFS) and dual HFS (DHFS), not only reflects the hesitant attitude of decision-makers (DMs), but also reflects the probability information of DMs. Score function of fuzzy number and weighting method are very important in multi-attribute group decision-making (MAGDM) issues. In many fuzzy environments, the score function and entropy measure have b… Show more

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Cited by 12 publications
(2 citation statements)
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“…Furthermore, many decision techniques manage the traditional TODIM technique [61] and EDAS technique [62,63] separately to manage the most optimal choice. Until now, no or few techniques have been implemented on Entropy technique [64] and TODIM technique based on EDAS technique [63,[65][66][67][68] under IVIFSs. Therefore, an integrated interval-valued intuitionistic fuzzy TODIM-EDAS (IVIF-TODIM-EDAS) technique is implemented to manage MAGDM under IVIFSs.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, many decision techniques manage the traditional TODIM technique [61] and EDAS technique [62,63] separately to manage the most optimal choice. Until now, no or few techniques have been implemented on Entropy technique [64] and TODIM technique based on EDAS technique [63,[65][66][67][68] under IVIFSs. Therefore, an integrated interval-valued intuitionistic fuzzy TODIM-EDAS (IVIF-TODIM-EDAS) technique is implemented to manage MAGDM under IVIFSs.…”
Section: Introductionmentioning
confidence: 99%
“…Keshavarz Ghorabaee et al [23] proposed the EDAS method, which converts the evaluation criteria from the idea of superior and inferior solutions to an average solution with the idea of compromise, which balances the various criteria and individual preferences to provide a more comprehensive decision-making result, and which has good consistent results with some of the existing classical decision-making methods. Related scholars have successively developed a series of extended forms such as IF EDAS method [20], HF EDAS method [15], GHF EDAS method [32], PDHF EDAS [41], and so on [11,21,68]. As a new decision-making method proposed in recent years, EDAS is often applied to solve decision-making problems with numerical attribute values, and there are relatively few researches on solving the decision-making problems of SvNCNs, based on which, this paper proposes a novel EDAS method for SvNCNs, which is used to solve the problem of alternatives ranking for MAGDM under the environment of SvNCN.…”
Section: Introductionmentioning
confidence: 99%