Hesitant Fuzzy Linguistic Aggregation Operators Based on the Hamacher t-norm and t-conorm

Hesitant fuzzy linguistic (HFL) term set, as a very flexible tool to represent the judgments of decision makers, has attracted the attention of many researchers. In recent years, some HFL aggregation operators have been developed to aggregate the HFL information. However, most of these operators are...

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Main Authors: Jianghong Zhu, Yanlai Li
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Symmetry
Subjects:
Online Access:http://www.mdpi.com/2073-8994/10/6/189
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spelling doaj-d98451b62cc046b4a7889db9d11e99ef2020-11-25T01:47:53ZengMDPI AGSymmetry2073-89942018-05-0110618910.3390/sym10060189sym10060189Hesitant Fuzzy Linguistic Aggregation Operators Based on the Hamacher t-norm and t-conormJianghong Zhu0Yanlai Li1School of Transportation and Logisitics, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Transportation and Logisitics, Southwest Jiaotong University, Chengdu 611756, ChinaHesitant fuzzy linguistic (HFL) term set, as a very flexible tool to represent the judgments of decision makers, has attracted the attention of many researchers. In recent years, some HFL aggregation operators have been developed to aggregate the HFL information. However, most of these operators are proposed based on the Algebraic product and Algebraic sum. In this paper, we presented some HFL aggregation operators to handle HFL information based on Hamacher triangle norms. We first define new operational laws on the HFL element according to Hamacher triangle norms. Then we present a family of HFL Hamacher aggregation operators, including the HFL Hamacher weighted averaging, HFL Hamacher weighted geometric, HFL Hamacher power weighted averaging and HFL Hamacher power weighted geometric operators and their generalized forms. We also investigate some special cases and properties of these operators in detail. Furthermore, we develop two approaches based on the proposed operators to deal with the multi-criteria decision-making problem with HFL information. Finally, a numerical example with regard to choosing a suitable city to release sharing car is provided to illustrate the feasibility of the proposed method, and the advantages of the proposed methods are shown by conducting a sensitivity and comparative analysis.http://www.mdpi.com/2073-8994/10/6/189hesitant fuzzy linguistic term setHamacher t-norm and t-conormpower aggregation operatormulti-criteria decision-making
collection DOAJ
language English
format Article
sources DOAJ
author Jianghong Zhu
Yanlai Li
spellingShingle Jianghong Zhu
Yanlai Li
Hesitant Fuzzy Linguistic Aggregation Operators Based on the Hamacher t-norm and t-conorm
Symmetry
hesitant fuzzy linguistic term set
Hamacher t-norm and t-conorm
power aggregation operator
multi-criteria decision-making
author_facet Jianghong Zhu
Yanlai Li
author_sort Jianghong Zhu
title Hesitant Fuzzy Linguistic Aggregation Operators Based on the Hamacher t-norm and t-conorm
title_short Hesitant Fuzzy Linguistic Aggregation Operators Based on the Hamacher t-norm and t-conorm
title_full Hesitant Fuzzy Linguistic Aggregation Operators Based on the Hamacher t-norm and t-conorm
title_fullStr Hesitant Fuzzy Linguistic Aggregation Operators Based on the Hamacher t-norm and t-conorm
title_full_unstemmed Hesitant Fuzzy Linguistic Aggregation Operators Based on the Hamacher t-norm and t-conorm
title_sort hesitant fuzzy linguistic aggregation operators based on the hamacher t-norm and t-conorm
publisher MDPI AG
series Symmetry
issn 2073-8994
publishDate 2018-05-01
description Hesitant fuzzy linguistic (HFL) term set, as a very flexible tool to represent the judgments of decision makers, has attracted the attention of many researchers. In recent years, some HFL aggregation operators have been developed to aggregate the HFL information. However, most of these operators are proposed based on the Algebraic product and Algebraic sum. In this paper, we presented some HFL aggregation operators to handle HFL information based on Hamacher triangle norms. We first define new operational laws on the HFL element according to Hamacher triangle norms. Then we present a family of HFL Hamacher aggregation operators, including the HFL Hamacher weighted averaging, HFL Hamacher weighted geometric, HFL Hamacher power weighted averaging and HFL Hamacher power weighted geometric operators and their generalized forms. We also investigate some special cases and properties of these operators in detail. Furthermore, we develop two approaches based on the proposed operators to deal with the multi-criteria decision-making problem with HFL information. Finally, a numerical example with regard to choosing a suitable city to release sharing car is provided to illustrate the feasibility of the proposed method, and the advantages of the proposed methods are shown by conducting a sensitivity and comparative analysis.
topic hesitant fuzzy linguistic term set
Hamacher t-norm and t-conorm
power aggregation operator
multi-criteria decision-making
url http://www.mdpi.com/2073-8994/10/6/189
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AT yanlaili hesitantfuzzylinguisticaggregationoperatorsbasedonthehamachertnormandtconorm
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