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KCI 후보

Dual hesitant fuzzy aggregation operators based on Bonferroni means and their applications to multiple attribute decision making

ANNALS OF FUZZY MATHEMATICS AND INFORMATICS
약어 : -
2017 vol.14, no.3, pp.265 - 278
DOI : 10.30948/afmi.2017.14.3.265
발행기관 : 원광대학교 기초자연과학연구소
연구분야 : 수학
Copyright © 원광대학교 기초자연과학연구소
Huonian Tu 1 ,  Chunyong Wang 2 ,  Xiaoqiang Zhou 3 ,  Shengda Tao 4

1Guangxi University of Finance and Economics

2Hezhou University

3Hunan Institute of Science and Technology

4Hezhou University

인용한 논문 수 :   -  
235 회 열람

In this paper, we investigate the multiple attribute decision making problems with dual hesitant fuzzy information. Motivated by the idea of Bonferroni mean and Choquet integral, we develop the aggregation techniques called the dual hesitant fuzzy choquet ordered Bonferroni mean operator for aggregating the dual hesitant fuzzy information. We research its properties and discuss its special cases. We also apply the newly defined operator to deal with multiple attribute decision making problems under dual hesitant fuzzy environment. Finally, an illustrative example is given to show the developed method and demonstrate its practicality and effectiveness.

Multiple attribute decision making, Dual hesitant fuzzy set, Bonferroni mean, Choquet integral

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