scholarly journals An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19)

2021 ◽  
Vol 103 ◽  
pp. 107155 ◽  
Author(s):  
Arunodaya Raj Mishra ◽  
Pratibha Rani ◽  
R. Krishankumar ◽  
K.S. Ravichandran ◽  
Samarjit Kar
Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 714 ◽  
Author(s):  
José Carlos R. Alcantud ◽  
Gustavo Santos-García ◽  
Xindong Peng ◽  
Jianming Zhan

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.


2013 ◽  
Vol 389 ◽  
pp. 854-859 ◽  
Author(s):  
Hai Bin Huang ◽  
Li Na Cai ◽  
Peng Chao Cai

As an extension of hesitant fuzzy sets, dual hesitant fuzzy sets can depict the attitude when decision makers give their certain or uncertain hesitant fuzzy evaluation information. In this paper, we develop the dual hesitant fuzzy ordered weighted averaging (DHFOWA) operator and the dual hesitant fuzzy ordered weighted geometric (DHFOWG) operator, study their properties, utilize them to aggregate dual hesitant fuzzy decision making information and verify their effectiveness and correctness.


1997 ◽  
Vol 51 (5) ◽  
pp. 286-296 ◽  
Author(s):  
B Wirsam ◽  
A Hahn ◽  
EO Uthus ◽  
C Leitzmann

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