Affiliations: College of Information Engineering, Jiangxi University of Technology, Jiangxi, China
Correspondence:
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Corresponding author. Huan Jin, College of Information Engineering, Jiangxi University of Technology, Jiangxi, China. Tel./Fax: +86 079183978869; E-mail: [email protected].
Abstract: Vehicle stability performance, as an important performance of automobile evaluation, it affected the performance of the vehicle and the people’s subjective feeling aspect, it is also the modern car driver that paid more and more attention to the stability performance, it is directly impacted the ride safety of the vehicle. In terms of the vehicle, stability performance affects the service life of the car, and even endanger the occupant safety; secondly, in terms of crew, people’s subjective feeling is one of the most important performance, stability performance will be evaluated by the people’s subjective feeling, the good or bad of stability performance will be relation with each occupant comfort level, and it also make the each occupant do the correct and effective response, at the same time, it also influence the stability of the car. In this paper, we investigate the multiple attribute decision making problems for evaluating the vehicle stability performance with hesitant fuzzy information. Then, we propose the dependent hesitant fuzzy weighted Bonferroni mean (DHFWBM) operator, in which the associated weights only depend on the aggregated hesitant fuzzy arguments and can relieve the influence of unfair arguments on the aggregated results and then apply DHFWBM operator to solve the vehicle stability performance with hesitant fuzzy information. Finally, an illustrative example for evaluating the vehicle stability performance is given to verify the developed approach.
