Multiple Attribute Decision Making Based on Generalized Aggregation Operators under Dual Hesitant Fuzzy EnvironmentReport as inadecuate




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Journal of Applied Mathematics - Volume 2014 2014, Article ID 254271, 12 pages -

Research Article

College of Mathematics and Econometrics, Hunan University, Changsha, Hunan 410082, China

College of Mathematics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China

Received 4 January 2014; Accepted 27 March 2014; Published 4 May 2014

Academic Editor: Francis T. K. Au

Copyright © 2014 Chunyong Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We investigate the multiple attribute decision making MADM problems with dual hesitant fuzzy information. We first introduce some basic concepts and operations on dual hesitant fuzzy sets. Then, we develop some generalized dual hesitant fuzzy aggregation operators which encompass some existing operators as their particular cases and discuss their basic properties. Next, we apply the generalized dual hesitant fuzzy Choquet ordered aggregation GDHFCOA 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.





Author: Chunyong Wang, Qingguo Li, and Xiaoqiang Zhou

Source: https://www.hindawi.com/



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