Symmetry | |
Dual Extended Hesitant Fuzzy Sets | |
JoséCarlos R. Alcantud1  Jianming Zhan2  Xindong Peng3  Gustavo Santos-García4  | |
[1] BORDA Research Unit, Universidad de Salamanca, 37007 Salamanca, Spain;College of Science, Hubei Minzu University, Enshi 445000, China;Department of Internet of Things, School of Information Science and Engineering, Shaoguan University, Shaoguan 512005, China;Facultad de Economía y Empresa and Multidisciplinary Institute of Enterprise (IME), Universidad de Salamanca, 37007 Salamanca, Spain; | |
关键词: hesitant fuzzy set; extended hesitant fuzzy set; dual hesitant fuzzy set; decision making; | |
DOI : 10.3390/sym11050714 | |
来源: DOAJ |
【 摘 要 】
Hesitant fuzzy sets extend fuzzy sets by considering many-valued sets of membership degrees. Real applications validate this model and decision making approaches of various forms permit to act in a flexible manner. If we can avail ourselves of hesitant information on non-membership degrees too, then dual hesitant fuzzy sets provide a natural extension of both hesitant fuzzy sets and intuitionistic fuzzy sets. This article defines the concept of dual extended hesitant fuzzy set as the combination of extended hesitant fuzzy sets with dual hesitant fuzzy sets. Its basic algebraic properties are set forth, and the model is linked to other successful models in the literature. We also define a comparison law for the prioritization of elements described in this new framework. Moreover, we present an algorithm to solve the dual extended hesitant fuzzy decision making problem by a weight score function. Finally, the feasibility of this approach is demonstrated by the evaluation of big data industries with an effectiveness test.
【 授权许可】
Unknown