A new methodology of multicriteria decision-making in supplier selection based on \(Z\)-numbers
type: Item
instance of: scholarly article
title: A new methodology of multicriteria decision-making in supplier selection based on \(Z\)-numbers
zbMATH Open document ID: 1400.90192
DOI: 10.1155/2016/8475987
author: Bingyi Kang
author: Yong Hu
author: Yong Deng
author: Deyun Zhou
published in: Mathematical Problems in Engineering
publication date: 2018-10-12T00:00:00Z
review text: Summary: Supplier selection is a significant issue of multicriteria decision-making (MCDM), which has been heavily studied with classical fuzzy methodologies, but the reliability of the knowledge from domain experts is not efficiently taken into consideration. \(Z\)-number introduced by Zadeh has more power to describe the knowledge of human being with uncertain information considering both restraint and reliability. In this paper, a methodology for supplier selection using \(Z\)-numbers is proposed considering information transformation. It includes two parts: one solves the issue of how to convert \(Z\)-number to the classic fuzzy number according to the fuzzy expectation; the other solves the problem of how to get the optimal priority weight for supplier selection with genetic algorithm (GA), which is an efficient and flexible method for calculating the priority weight of the judgement matrix. Finally, an example for supplier selection is used to illustrate the effectiveness the proposed methodology.
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90C70
Mathematics Subject Classification ID: 68T37
zbMATH DE Number: 6953668
Wikidata QID: Q57852226
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/8475987
OpenAlex ID: W2223993383
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description: scientific article; zbMATH DE number 6953668