4.4 Article

Risk assessment method for mass unexpected incident in city with hesitant fuzzy linguistic information

Journal

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Volume 29, Issue 5, Pages 2299-2304

Publisher

IOS PRESS
DOI: 10.3233/IFS-151705

Keywords

Multiple attribute decision making; hesitant fuzzy linguistic values; hesitant fuzzy linguistic weighted geometric Bonferroni mean (HFLGWBM) operator; risk assessment; mass unexpected incident

Funding

  1. Aviation Science Foundation of China [2014ZG51075]
  2. Technical Research Foundation
  3. National Natural Science Foundation of China [71171008]

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The aim of this paper is to investigate the hesitant fuzzy linguistic multiple attribute decision making problems based on the hesitant fuzzy linguistic sets and Geometric Bonferroni mean operator. Then, we have proposed two aggregation operators: hesitant fuzzy linguistic geometric Bonferroni mean (HFLGBM) operator and hesitant fuzzy linguistic weighted geometric Bonferroni mean (HFLWGBM) operator. Then, we have utilized HFLWGBM operator to tackle the multiple attribute decision making problems using hesitant fuzzy linguistic information. In the end, a practical example for risk assessment of mass unexpected incident in city is proposed to testify the method in this paper.

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