A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection

TODIM is a well-known multiple-criteria decision-making (MCDM) which considers the bounded rationality of decision makers (DMs) based on prospect theory (PT). However, in the classical TODIM, the perceived probability weighting function and the difference of the risk attitudes for gains and losses a...

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Main Authors: Xiaoli Tian, Meiling Niu, Jiangshui Ma, Zeshui Xu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/2540798
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author Xiaoli Tian
Meiling Niu
Jiangshui Ma
Zeshui Xu
author_facet Xiaoli Tian
Meiling Niu
Jiangshui Ma
Zeshui Xu
author_sort Xiaoli Tian
collection DOAJ
description TODIM is a well-known multiple-criteria decision-making (MCDM) which considers the bounded rationality of decision makers (DMs) based on prospect theory (PT). However, in the classical TODIM, the perceived probability weighting function and the difference of the risk attitudes for gains and losses are not consistent with the original idea of PT. Moreover, probabilistic hesitant fuzzy information shows its superiority in handling the situation that the DMs hesitate among several possible values with different possibilities. Hence, a novel TODIM with probabilistic hesitant fuzzy information is proposed in this paper to simulate the perceptions of the DMs in PT. To show the advantages of the proposed method, a novel TODIM is combined with hesitant fuzzy information. Finally, a case study is carried out to demonstrate the feasibility of the proposed method, and a series of comparative analyses and the sensitivity analyses are used to show the stability of the proposed method.
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institution Kabale University
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publishDate 2020-01-01
publisher Wiley
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spelling doaj-art-cde185467d9647cc89ded09439b3384b2025-02-03T00:58:51ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/25407982540798A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier SelectionXiaoli Tian0Meiling Niu1Jiangshui Ma2Zeshui Xu3School of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, ChinaSchool of Public Finance and Taxation, Central University of Finance and Economics, Beijing 100081, ChinaSchool of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, ChinaBusiness School, Sichuan University, Chengdu 610064, ChinaTODIM is a well-known multiple-criteria decision-making (MCDM) which considers the bounded rationality of decision makers (DMs) based on prospect theory (PT). However, in the classical TODIM, the perceived probability weighting function and the difference of the risk attitudes for gains and losses are not consistent with the original idea of PT. Moreover, probabilistic hesitant fuzzy information shows its superiority in handling the situation that the DMs hesitate among several possible values with different possibilities. Hence, a novel TODIM with probabilistic hesitant fuzzy information is proposed in this paper to simulate the perceptions of the DMs in PT. To show the advantages of the proposed method, a novel TODIM is combined with hesitant fuzzy information. Finally, a case study is carried out to demonstrate the feasibility of the proposed method, and a series of comparative analyses and the sensitivity analyses are used to show the stability of the proposed method.http://dx.doi.org/10.1155/2020/2540798
spellingShingle Xiaoli Tian
Meiling Niu
Jiangshui Ma
Zeshui Xu
A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection
Complexity
title A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection
title_full A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection
title_fullStr A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection
title_full_unstemmed A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection
title_short A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection
title_sort novel todim with probabilistic hesitant fuzzy information and its application in green supplier selection
url http://dx.doi.org/10.1155/2020/2540798
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