Closeness Degree-Based Hesitant Trapezoidal Fuzzy Multicriteria Decision Making Method for Evaluating Green Suppliers with Qualitative Information

The aim of this study is to develop a new closeness degree-based hesitant trapezoidal fuzzy (HTrF) multicriteria decision making (MCDM) approach for identifying the most appropriate green suppliers in food supply chain involving uncertain qualitative evaluation information. The uniqueness of the pro...

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Main Authors: Xiaolu Zhang, Touping Yang, Wei Liang, Meifang Xiong
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2018/3178039
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author Xiaolu Zhang
Touping Yang
Wei Liang
Meifang Xiong
author_facet Xiaolu Zhang
Touping Yang
Wei Liang
Meifang Xiong
author_sort Xiaolu Zhang
collection DOAJ
description The aim of this study is to develop a new closeness degree-based hesitant trapezoidal fuzzy (HTrF) multicriteria decision making (MCDM) approach for identifying the most appropriate green suppliers in food supply chain involving uncertain qualitative evaluation information. The uniqueness of the proposed HTrF MCDM method is the consideration of uncertain qualitative information represented by flexible linguistic expressions based on HTrF values and the construction of compromise solution with the revised closeness degree. The revised closeness degree can make sure that the most appropriate solution has the shortest distance from the HTrF positive ideal solution and the farthest distance from the HTrF negative ideal solution, simultaneously. This proposed HTrF MCDM technique not only offers a simple and efficient decision support tool to aid the food firms for identifying the optimal suppliers in food supply chain but also can enable the managers of food firms to better understand the complete evaluation and decision processes. In addition, this study provides a novel defuzzification technique to manage the HTrF weights values of main-criteria and subcriteria, respectively.
format Article
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institution Kabale University
issn 1026-0226
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language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-213f08265c2e4fbba6e54821656bc0442025-08-20T03:54:47ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2018-01-01201810.1155/2018/31780393178039Closeness Degree-Based Hesitant Trapezoidal Fuzzy Multicriteria Decision Making Method for Evaluating Green Suppliers with Qualitative InformationXiaolu Zhang0Touping Yang1Wei Liang2Meifang Xiong3The Collaborative Innovation Center, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaThe Collaborative Innovation Center, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaThe Collaborative Innovation Center, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaCollege of Modern Economics & Management, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaThe aim of this study is to develop a new closeness degree-based hesitant trapezoidal fuzzy (HTrF) multicriteria decision making (MCDM) approach for identifying the most appropriate green suppliers in food supply chain involving uncertain qualitative evaluation information. The uniqueness of the proposed HTrF MCDM method is the consideration of uncertain qualitative information represented by flexible linguistic expressions based on HTrF values and the construction of compromise solution with the revised closeness degree. The revised closeness degree can make sure that the most appropriate solution has the shortest distance from the HTrF positive ideal solution and the farthest distance from the HTrF negative ideal solution, simultaneously. This proposed HTrF MCDM technique not only offers a simple and efficient decision support tool to aid the food firms for identifying the optimal suppliers in food supply chain but also can enable the managers of food firms to better understand the complete evaluation and decision processes. In addition, this study provides a novel defuzzification technique to manage the HTrF weights values of main-criteria and subcriteria, respectively.http://dx.doi.org/10.1155/2018/3178039
spellingShingle Xiaolu Zhang
Touping Yang
Wei Liang
Meifang Xiong
Closeness Degree-Based Hesitant Trapezoidal Fuzzy Multicriteria Decision Making Method for Evaluating Green Suppliers with Qualitative Information
Discrete Dynamics in Nature and Society
title Closeness Degree-Based Hesitant Trapezoidal Fuzzy Multicriteria Decision Making Method for Evaluating Green Suppliers with Qualitative Information
title_full Closeness Degree-Based Hesitant Trapezoidal Fuzzy Multicriteria Decision Making Method for Evaluating Green Suppliers with Qualitative Information
title_fullStr Closeness Degree-Based Hesitant Trapezoidal Fuzzy Multicriteria Decision Making Method for Evaluating Green Suppliers with Qualitative Information
title_full_unstemmed Closeness Degree-Based Hesitant Trapezoidal Fuzzy Multicriteria Decision Making Method for Evaluating Green Suppliers with Qualitative Information
title_short Closeness Degree-Based Hesitant Trapezoidal Fuzzy Multicriteria Decision Making Method for Evaluating Green Suppliers with Qualitative Information
title_sort closeness degree based hesitant trapezoidal fuzzy multicriteria decision making method for evaluating green suppliers with qualitative information
url http://dx.doi.org/10.1155/2018/3178039
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AT toupingyang closenessdegreebasedhesitanttrapezoidalfuzzymulticriteriadecisionmakingmethodforevaluatinggreensupplierswithqualitativeinformation
AT weiliang closenessdegreebasedhesitanttrapezoidalfuzzymulticriteriadecisionmakingmethodforevaluatinggreensupplierswithqualitativeinformation
AT meifangxiong closenessdegreebasedhesitanttrapezoidalfuzzymulticriteriadecisionmakingmethodforevaluatinggreensupplierswithqualitativeinformation