Model for evaluating the electrical power system safety with hesitant fuzzy linguistic information

Article type: Research Article

Authors: Liu, Dun-Nan^*

Affiliations: North China Electric Power University, Beijing, China

Correspondence: [*] Correspondence to: Dun-Nan Liu, North China Electric Power University, Beijing 102206, China. Tel./Fax: +86 18610211388 [email protected]

Abstract: In this paper, we investigate the multiple attribute decision making problems based on the hesitant fuzzy linguistic sets and Bonferroni mean operator with hesitant fuzzy linguistic information. Then, we have developed some aggregation operators for aggregating hesitant fuzzy linguistic information: hesitant fuzzy linguistic Bonferroni mean (HFLBM) operator and hesitant fuzzy linguistic weighted Bonferroni mean (HFLWBM) operator. Then, we have utilized these operators to develop some approaches to solve the hesitant fuzzy linguistic multiple attribute decision making problems. Finally, a practical example for evaluating the electrical power system safety is given to verify the developed approach.

Keywords: Multiple attribute decision making, hesitant fuzzy linguistic values, hesitant fuzzy linguistic weighted Bonferroni mean (HFLWBM) operator, electrical power system, safety evaluation

DOI: 10.3233/IFS-141462

Journal: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 2, pp. 725-730, 2015