Models for multiple attribute decision making with hesitant fuzzy linguistic information and their application to Enterprise risk evaluation

Article type: Research Article

Authors: Wang, Yong-Hai | Li, Li^*

Affiliations: School of Economics and Management, Wuhan University, China

Correspondence: [*] Corresponding author. Li Li, School of Economics and Management, Wuhan University 430072, China. Tel.: +86 13501083145; Fax: +86 13501083145; E-mail: lili17li@163.com.

Abstract: In this paper, motivated by the Einstein operations and Bonferroni mean, we investigate the multiple attribute decision making problems for evaluating the enterprise risk with the hesitant fuzzy linguistic information. Then, we propose the hesitant fuzzy linguistic Einstein Bonferroni mean (HFLEBM) operator. Then, we have utilized the HFLEBM operator to develop an approach for evaluating the enterprise risk with the hesitant fuzzy linguistic information. Finally, a practical example for evaluating the Enterprise risk is given.

Keywords: Multiple attribute decision making, hesitant fuzzy linguistic sets, hesitant fuzzy linguistic Einstein Bonferroni mean (HFLEBM) operator, hesitant fuzzy linguistic weighted Einstein Bonferroni mean (HFLWEBM) operator, enterprise risk

DOI: 10.3233/IFS-151860

Journal: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1531-1536, 2016