Affiliation of Author(s):经济与管理学院

Journal:Kongzhi yu Juece Control Decis

Abstract:A multiple attribute decision making problem under hesitant fuzzy environment with unknown weight information is investigated. The ranking results of alternatives are affected when adding elements into a hesitant fuzzy element(HFE). To overcome this drawback, a signed distance-based approach for the multiple attribute decision making with hesitant fuzzy information is proposed. Firstly, a novel hesitancy index based on the number and deviation of elements in a HFE is presented, and a hesitant fuzzy signed distance measure is proposed. Then, an optimization model on the basis of the signed distance measure is constructed to determine the attribute weights, and the priorities of alternatives can be obtained. Finally, a numerical example is given to illustrate the rationality and effectiveness of the proposed method. © 2018, Editorial Office of Control and Decision. All right reserved.

ISSN No.:1001-0920

Translation or Not:no

Date of Publication:2018-01-01

Co-author:Lin, Song,Liu, Xiao-Di,Zhang, Shi-Tao

Correspondence Author:Lin, Song,zjj