2020
DOI: 10.2991/ijcis.d.200908.001
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Multi-Criteria Group Decision-Making Using Spherical Fuzzy Prioritized Weighted Aggregation Operators

Abstract: Spherical fuzzy sets, originally proposed by F.K. Gündogdu, C. Kahraman, Spherical fuzzy sets and spherical fuzzy TOPSIS method, J. Intell. Fuzzy Syst. 36 (2019), 337-352, can handle the information of type: yes, no, abstain and refusal, owing to the feature of broad space of admissible triplets. This remarkable feature of spherical fuzzy set to manage the uncertainty and vagueness distinguishes it from other fuzzy set models. In this research article, we utilize spherical fuzzy sets and prioritized weighted a… Show more

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Cited by 38 publications
(9 citation statements)
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References 40 publications
(49 reference statements)
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“…is a mapping from Z to 2 U×G , with the property that, for each z ∈ Z and w ∈ W, there exist a unique (w, g w z ) ∈ W × G such that (w, g w z ) ∈ F(z), w ∈ W, g w z ∈ G [27][28][29][30][31][32][33][34][35][36][37][38][39][40].…”
Section: Preliminariesmentioning
confidence: 99%
“…is a mapping from Z to 2 U×G , with the property that, for each z ∈ Z and w ∈ W, there exist a unique (w, g w z ) ∈ W × G such that (w, g w z ) ∈ F(z), w ∈ W, g w z ∈ G [27][28][29][30][31][32][33][34][35][36][37][38][39][40].…”
Section: Preliminariesmentioning
confidence: 99%
“…Donyatalab, Farokhizadeh, Garmroodi and Shishavan [22] introduced Harmonic mean aggregation operators in SFSs about MAGDM problems. Akram, Alsulami, Khan and Karaaslan [23] developed prioritized weighted aggregation operators in SFSs about MAGDM issues. Ashraf, Abdullah and Mahmood [24] defined some new spherical fuzzy dombi aggregation operators by means of dombi t-norm as well as t-conorm.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, SFSs can handle the information of type: yes, no, abstain and refusal, owing to the feature of broad space of admissible triplets. This remarkable feature of SFSs to manage the uncertainty and ambiguity distinguishes it from other fuzzy set models (Akram et al 2020). Being able to reflect human cognition, they provide the DMs with a flexible structure that can effectively capture fuzziness and uncertainty.…”
Section: Introductionmentioning
confidence: 99%