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Article type: Research Article
Authors: Zhong, Qiaoa; 1 | Zou, Fanga; *; 2 | Zhong, Lingb; 3
Affiliations: [a] College of Business and Tourism, Sichuan Agricultural University, China | [b] College of Mathematics and Statistics, Liupanshui Normal University, China
Correspondence: [*] Corresponding author. Fang Zou, E-mail: [email protected].
Note: [1] Qiao Zhong: https://orcid.org/0009-0007-2021-5788.
Note: [2] Fang Zou: https://orcid.org/0009-0000-1874-6298.
Note: [3] Ling Zhong: https://orcid.org/0009-0009-3260-841X.
Abstract: Traditional fuzzy decision-making methods still have certain limitations in practical applications, such as the problem of the sum of attribute memberships and non-memberships possibly exceeding 1. Additionally, due to the attributes in real decision-making processes often not being mutually independent but rather exhibiting a certain degree of correlation, traditional fuzzy decision-making methods may not fully capture and express this complexity. To overcome these limitations, this paper proposes a new multi-attribute decision-making method addressing the problem of integrating information with correlated attributes in the generalized spherical fuzzy environment. Initially, by combining the generalized spherical fuzzy set with the Heronian averaging operator, the paper introduces the generalized spherical fuzzy weighted Heronian averaging operator and thoroughly discusses some valuable properties of both operators, providing corresponding proofs. Furthermore, the paper proposes the multi-attribute decision-making method using the generalized spherical fuzzy weighted Heronian averaging operator, enriching not only the theoretical framework of multi-attribute decision-making methods but also offering more possibilities for practical applications. Finally, the application of this method in the field of commercial bank lending decision-making will be further explored to enhance the accuracy and efficiency of credit decisions, reduce risks, and promote the healthy development of the banking industry.
Keywords: Heronian mean operator, generalised spherical fuzzy Heronian operator, multi-attribute decision-making
DOI: 10.3233/JIFS-241113
Journal: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
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