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Multiple attribute decision making model and application to food safety risk evaluation

Decision making for supermarket food purchase decisions are characterized by network relationships. This paper analyzed factors that influence supermarket food selection and proposes a supplier evaluation index system based on the whole process of food production. The author established the intuitiv...

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Detalles Bibliográficos
Autores principales: Ma, Lihua, Chen, Hong, Yan, Huizhe, Yang, Lifeng, Wu, Lifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736234/
https://www.ncbi.nlm.nih.gov/pubmed/29261754
http://dx.doi.org/10.1371/journal.pone.0189835
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author Ma, Lihua
Chen, Hong
Yan, Huizhe
Yang, Lifeng
Wu, Lifeng
author_facet Ma, Lihua
Chen, Hong
Yan, Huizhe
Yang, Lifeng
Wu, Lifeng
author_sort Ma, Lihua
collection PubMed
description Decision making for supermarket food purchase decisions are characterized by network relationships. This paper analyzed factors that influence supermarket food selection and proposes a supplier evaluation index system based on the whole process of food production. The author established the intuitive interval value fuzzy set evaluation model based on characteristics of the network relationship among decision makers, and validated for a multiple attribute decision making case study. Thus, the proposed model provides a reliable, accurate method for multiple attribute decision making.
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spelling pubmed-57362342017-12-22 Multiple attribute decision making model and application to food safety risk evaluation Ma, Lihua Chen, Hong Yan, Huizhe Yang, Lifeng Wu, Lifeng PLoS One Research Article Decision making for supermarket food purchase decisions are characterized by network relationships. This paper analyzed factors that influence supermarket food selection and proposes a supplier evaluation index system based on the whole process of food production. The author established the intuitive interval value fuzzy set evaluation model based on characteristics of the network relationship among decision makers, and validated for a multiple attribute decision making case study. Thus, the proposed model provides a reliable, accurate method for multiple attribute decision making. Public Library of Science 2017-12-19 /pmc/articles/PMC5736234/ /pubmed/29261754 http://dx.doi.org/10.1371/journal.pone.0189835 Text en © 2017 Ma et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ma, Lihua
Chen, Hong
Yan, Huizhe
Yang, Lifeng
Wu, Lifeng
Multiple attribute decision making model and application to food safety risk evaluation
title Multiple attribute decision making model and application to food safety risk evaluation
title_full Multiple attribute decision making model and application to food safety risk evaluation
title_fullStr Multiple attribute decision making model and application to food safety risk evaluation
title_full_unstemmed Multiple attribute decision making model and application to food safety risk evaluation
title_short Multiple attribute decision making model and application to food safety risk evaluation
title_sort multiple attribute decision making model and application to food safety risk evaluation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736234/
https://www.ncbi.nlm.nih.gov/pubmed/29261754
http://dx.doi.org/10.1371/journal.pone.0189835
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