International Journal of Information and Decision Sciences, Volume (11), No (1), Year (2018-11) , Pages (22-35)

Title : ( Fuzzy classification as a decision making problem in hesitant environments )

Authors: mahdi ranjbar taghi abad , Ali Vahidian Kamyad , Sohrab Effati ,

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Abstract

This paper presents a new approach for fuzzy classification in the hesitant environments -FCHE- by decision making process. Our intention of the hesitant environments is situations, which there are different evaluations of experts for one problem. In this paper , we focus on cases that a classifier can be designed by knowledge of experts while each expert can classify data with a feature, independently, by linguistic terms. In this paper, we assume the classification task as a decision making problem in which, each feature as an attribute, each class as an alternative and each expert as a decision maker are considered. In the new classifier , we can use different score functions and aggregation operators in hesitant fuzzy sets for fuzzy classification in various viewpoints . Finally , our new approach is applied to a practical problem in economics , then for validation of the proposed model, we use iris data from the UCI repository.

Keywords

decision making problem; fuzzy classification; hesitant fuzzy set; HFS; aggregation operator; score function.
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@article{paperid:1072749,
author = {Ranjbar Taghi Abad, Mahdi and Vahidian Kamyad, Ali and Effati, Sohrab},
title = {Fuzzy classification as a decision making problem in hesitant environments},
journal = {International Journal of Information and Decision Sciences},
year = {2018},
volume = {11},
number = {1},
month = {November},
issn = {1756-7017},
pages = {22--35},
numpages = {13},
keywords = {decision making problem; fuzzy classification; hesitant fuzzy set; HFS; aggregation operator; score function.},
}

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%0 Journal Article
%T Fuzzy classification as a decision making problem in hesitant environments
%A Ranjbar Taghi Abad, Mahdi
%A Vahidian Kamyad, Ali
%A Effati, Sohrab
%J International Journal of Information and Decision Sciences
%@ 1756-7017
%D 2018

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