research-article

Intuitionistic fuzzy MABAC method based on cumulative prospect theory for multiple attribute group decision making

Authors:

Yu WeiAuthors Info & Claims

International Journal of Intelligent Systems, Volume 36, Issue 11

Pages 6337 - 6359

https://doi.org/10.1002/int.22552

Published: 24 September 2021 Publication History

Abstract

Intuitionistic fuzzy sets are often employed to depict complex and uncertain environments. The purpose of this article is to construct a new approach for dealing with multiattribute group decision making (MAGDM) problems. In this paper, we introduce the concept of cumulative prospect theory (CPT) into the original multiattributive border approximation area comparison (MABAC) method and create the intuitionistic fuzzy MABAC method based on CPT (CPT‐IF‐MABAC method). The new CPT‐IF‐MABAC method not only has fairly strong operability, but also inherits the characteristic of CPT that considers the influence of decision makers' attitude. Furthermore, this new model mixes together the determination method of attribute weight and alternative. At the end, the stability and availability of this method are demonstrated through an application instance about cold chain and the comparison with the existing methods, such as IF‐MULTIMOORA method and IF‐VIKOR method. In the future, we devote ourselves to explore more applications of this new proposed method and other more effective solutions for MAGDM.

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Published In

cover image International Journal of Intelligent Systems

International Journal of Intelligent Systems Volume 36, Issue 11

November 2021

831 pages

ISSN:0884-8173

DOI:10.1002/int.v36.11

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© 2021 Wiley Periodicals LLC.

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John Wiley and Sons Ltd.

United Kingdom

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Published: 24 September 2021

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Cited By

Yue CHuang RTowey DXian ZWu G(2024)An entropy-based group decision-making approach for software quality evaluationExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.121979238:PCOnline publication date: 27-Feb-2024
https://dl.acm.org/doi/10.1016/j.eswa.2023.121979
Naz STasawar AButt SDiaz-Martinez JDe-La-Hoz-Franco E(2024)An integrated CRITIC-MABAC model under 2-tuple linguistic cubic q-rung orthopair fuzzy information with advanced aggregation operators, designed for multiple attribute group decision-makingThe Journal of Supercomputing10.1007/s11227-024-06419-980:19(27244-27302)Online publication date: 1-Dec-2024
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Naz SShafiq AAbbas M(2024)An approach for 2-tuple linguistic q-rung orthopair fuzzy MAGDM for the evaluation of historical sites with power Heronian meanThe Journal of Supercomputing10.1007/s11227-023-05678-280:5(6435-6485)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s11227-023-05678-2
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