Research on the security of information system authentication scheme based on the fuzzy number intuitionistic fuzzy information

Issue title: Special Section: Fuzzy Decision Making and Applications in Knowledge Management

Guest editors: Justin Zhang

Article type: Research Article

Authors: Wang, Yajie^{a; *} | Yu, Huan^a | Shi, Feng^b

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: [email protected].

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