Linguistic Intuitionistic Fuzzy Sets and Application in MAGDM

To better deal with imprecise and uncertain information in decision making, the definition of linguistic intuitionistic fuzzy sets (LIFSs) is introduced, which is characterized by a linguistic membership degree and a linguistic nonmembership degree, respectively. To compare any two linguistic intuit...

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Main Author: Huimin Zhang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/432092
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author Huimin Zhang
author_facet Huimin Zhang
author_sort Huimin Zhang
collection DOAJ
description To better deal with imprecise and uncertain information in decision making, the definition of linguistic intuitionistic fuzzy sets (LIFSs) is introduced, which is characterized by a linguistic membership degree and a linguistic nonmembership degree, respectively. To compare any two linguistic intuitionistic fuzzy values (LIFVs), the score function and accuracy function are defined. Then, based on t-norm and t-conorm, several aggregation operators are proposed to aggregate linguistic intuitionistic fuzzy information, which avoid the limitations in exiting linguistic operation. In addition, the desired properties of these linguistic intuitionistic fuzzy aggregation operators are discussed. Finally, a numerical example is provided to illustrate the efficiency of the proposed method in multiple attribute group decision making (MAGDM).
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spelling doaj-art-4dcfb80958b745e28457165477ebcda82025-02-03T01:33:13ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/432092432092Linguistic Intuitionistic Fuzzy Sets and Application in MAGDMHuimin Zhang0School of Management, Henan University of Technology, Zhengzhou 450001, ChinaTo better deal with imprecise and uncertain information in decision making, the definition of linguistic intuitionistic fuzzy sets (LIFSs) is introduced, which is characterized by a linguistic membership degree and a linguistic nonmembership degree, respectively. To compare any two linguistic intuitionistic fuzzy values (LIFVs), the score function and accuracy function are defined. Then, based on t-norm and t-conorm, several aggregation operators are proposed to aggregate linguistic intuitionistic fuzzy information, which avoid the limitations in exiting linguistic operation. In addition, the desired properties of these linguistic intuitionistic fuzzy aggregation operators are discussed. Finally, a numerical example is provided to illustrate the efficiency of the proposed method in multiple attribute group decision making (MAGDM).http://dx.doi.org/10.1155/2014/432092
spellingShingle Huimin Zhang
Linguistic Intuitionistic Fuzzy Sets and Application in MAGDM
Journal of Applied Mathematics
title Linguistic Intuitionistic Fuzzy Sets and Application in MAGDM
title_full Linguistic Intuitionistic Fuzzy Sets and Application in MAGDM
title_fullStr Linguistic Intuitionistic Fuzzy Sets and Application in MAGDM
title_full_unstemmed Linguistic Intuitionistic Fuzzy Sets and Application in MAGDM
title_short Linguistic Intuitionistic Fuzzy Sets and Application in MAGDM
title_sort linguistic intuitionistic fuzzy sets and application in magdm
url http://dx.doi.org/10.1155/2014/432092
work_keys_str_mv AT huiminzhang linguisticintuitionisticfuzzysetsandapplicationinmagdm