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Artificial Intelligence Review

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23-11-2021

Hybrid group decision-making technique under spherical fuzzy N-soft expert sets

Authors: Muhammad Akram, Ghous Ali, Xindong Peng, Muhammad Zain Ul Abidin

Published in: Artificial Intelligence Review | Issue 5/2022

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Abstract

This paper presents the concept of a new hybrid model called spherical fuzzy N-soft expert sets, which is an extension of spherical fuzzy soft expert sets. The proposed model is highly suitable to describe the multinary data evaluation in terms of spherical fuzzy soft information considering multiple experts’ opinions. Some fundamental properties, including subset, weak complement, spherical fuzzy complement, spherical fuzzy weak complement, union, intersection, AND operation, and OR operation, are discussed. Our proposed concepts are explained with detailed examples. An efficient algorithm is developed to solve multi-attribute group decision-making (MAGDM) problems. Further, to guarantee the high applicability scope and flexibility of our initiated framework, two real-world MAGDM problems, that is, predicting local election results using survey ratings before the election and ranking credibility of the smartphones using customer feedback, are solved. Finally, to endorse the accuracy and advantages of the proposed technique, a comprehensive comparative analysis of the presented approach with existing models such as spherical fuzzy soft expert sets and N-soft sets is provided.

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Title: Hybrid group decision-making technique under spherical fuzzy N-soft expert sets
Authors: Muhammad Akram
Ghous Ali
Xindong Peng
Muhammad Zain Ul Abidin
Publication date: 23-11-2021
Publisher: Springer Netherlands
Published in: Artificial Intelligence Review / Issue 5/2022
Print ISSN: 0269-2821
Electronic ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-021-10103-2

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