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Issue title: Special Section: Fuzzy Decision Making and Applications in Knowledge Management
Guest editors: Justin Zhang
Article type: Research Article
Authors: Wang, Yajiea; * | Yu, Huana | Shi, Fengb
Affiliations: [a] School of Management, Harbin Institute of Technology, Harbin, China | [b] School of International Trade and Economics, University of International Business and Economics, Beijing, China
Correspondence: [*] Corresponding author. Yajie Wang, School of management, Harbin Institute of Technology, Harbin, 150001, China. Tel./Fax: +86 0451 82339829; E-mail: yajiewyj1980@126.com.
Abstract: The aim of this paper is to investigate the fuzzy number intuitionistic fuzzy multiple attribute decision making problems based on the fuzzy number intuitionistic fuzzy sets and Geometric Bonferroni mean operator. Then, we have proposed two aggregation operators: fuzzy number intuitionistic fuzzy geometric Bonferroni mean (FNIFGBM) operator and fuzzy number intuitionistic fuzzy weighted geometric Bonferroni mean (FNIFWGBM) operator. Then, we have utilized FNIFWGBM operator to tackle the multiple attribute decision making problems with fuzzy number intuitionistic fuzzy information. Finally, to testify the effectiveness of the proposed method, we present an example to evaluate the corporate credit risk based on supply chain finance with the fuzzy number intuitionistic fuzzy information.
Keywords: Multiple attribute decision making (MADM), fuzzy number intuitionistic fuzzy sets, hamacher geometric aggregation operators, fuzzy number intuitionistic fuzzy weighted geometric Bonferroni mean (FNIFWGBM) operator, corporate credit risk, supply chain finance
DOI: 10.3233/JIFS-179227
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 1629-1637, 2019
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