Title : ( T-operators in hesitant fuzzy sets and their applications to fuzzy rule-based classifier )
Authors: M. Ranjbar , Sohrab Effati , Ali Vahidian Kamyad ,
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Abstract
Extending of the T-operators on hesitant fuzzy sets (HFSs) is important in the theory and applications. In this paper, we used two comparative operators for expressing monotonicity of the T-operators on hesitant fuzzy elements (HFEs). Hence, properties of some T-operators for Xu-Xia partial order () and Xia-Xu order (⪯) are studied on typical hesitant fuzzy elements (THFEs). Finally, an application of T-operators on HFEs has been explained in fuzzy rule-based systems for a practical problem in economics. Also, for a conceptual comparison, a benchmark data under a hesitant fuzzy information environment has been used.
Keywords
, Triangular operators, Hesitant fuzzy sets, Fuzzy rule-based systems
@article{paperid:1065184,
author = {M. Ranjbar and Effati, Sohrab and Vahidian Kamyad, Ali},
title = {T-operators in hesitant fuzzy sets and their applications to fuzzy rule-based classifier},
journal = {Applied Soft Computing},
year = {2018},
volume = {62},
number = {5},
month = {January},
issn = {1568-4946},
pages = {423--440},
numpages = {17},
keywords = {Triangular operators; Hesitant fuzzy sets; Fuzzy rule-based systems},
}
%0 Journal Article
%T T-operators in hesitant fuzzy sets and their applications to fuzzy rule-based classifier
%A M. Ranjbar
%A Effati, Sohrab
%A Vahidian Kamyad, Ali
%J Applied Soft Computing
%@ 1568-4946
%D 2018
