research-article

Evaluation of the product quality of the online shopping platform using t-spherical fuzzy preference relations

Authors: Choonkil Park, Shahzaib Ashraf, Noor Rehman, Saleem Abdullah, Muhammad AslamAuthors Info & Claims

Journal of Intelligent & Fuzzy Systems, Volume 41, Issue 6

Pages 6245 - 6262

https://doi.org/10.3233/JIFS-202930

Published: 01 January 2021 Publication History

Abstract

As a generalization of Pythagorean fuzzy sets and picture fuzzy sets, spherical fuzzy sets provide decision makers more flexible space in expressing their opinions. Preference relations have received widespread acceptance as an efficient tool in representing decision makers’ preference over alternatives in the decision-making process. In this paper, some new preference relations are investigated based on the spherical fuzzy sets. Firstly, the deficiency of the existing operating laws is elaborated in detail and three cases are described to identify the accuracy of the proposed operating laws in the context of t-spherical fuzzy environment. Also, a novel score function is proposed to obtain the consistent value in ranking of the alternatives. The backbone of this research, t-spherical fuzzy preference relation, consistent t-spherical fuzzy preference relations, incomplete t-spherical fuzzy preference relations, consistent incomplete t-spherical fuzzy preference relations, and acceptable incomplete t-spherical fuzzy preference relations are established. Additionally, some ranking and selection algorithms are established using the proposed novel score function and preference relations to tackle the uncertainty in real-life decision-making problems. Finally, evaluation of the product quality of the online shopping platform problem is demonstrated to show the applicability and reliability of proposed technique.

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Cited By

Chen T(2023)Multiple criteria decision analytic methods in management with T-spherical fuzzy informationArtificial Intelligence Review10.1007/s10462-023-10461-z56:12(14087-14157)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1007/s10462-023-10461-z
Chen T(2022)Likelihood-based agreement measurements with Pythagorean fuzzy paired point operators to enrichment evaluations and priority determination for an uncertain decision-theoretical analysisEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.104912113:COnline publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1016/j.engappai.2022.104912

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Evaluation of the product quality of the online shopping platform using t-spherical fuzzy preference relations
1. Applied computing

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cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Volume 41, Issue 6

2021

1780 pages

ISSN:1064-1246

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© 2021 – IOS Press. All rights reserved.

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IOS Press

Netherlands

Publication History

Published: 01 January 2021

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Cited By

Chen T(2023)Multiple criteria decision analytic methods in management with T-spherical fuzzy informationArtificial Intelligence Review10.1007/s10462-023-10461-z56:12(14087-14157)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1007/s10462-023-10461-z
Chen T(2022)Likelihood-based agreement measurements with Pythagorean fuzzy paired point operators to enrichment evaluations and priority determination for an uncertain decision-theoretical analysisEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.104912113:COnline publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1016/j.engappai.2022.104912

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