Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application

Generally, there are large amounts of uncertain factors in the multi-attribute decision system. By using the gray relational degree and fuzzy gray relational degree, the weights of the comprehensive indexes are extracted. Then, a novel decision model is established based on the concept of relative s...

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Detalles Bibliográficos
Autores principales: Sui, Ling, Liang, Xiaojie, Huang, Qilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232317/
https://www.ncbi.nlm.nih.gov/pubmed/35755725
http://dx.doi.org/10.1155/2022/4274795
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author Sui, Ling
Liang, Xiaojie
Huang, Qilong
author_facet Sui, Ling
Liang, Xiaojie
Huang, Qilong
author_sort Sui, Ling
collection PubMed
description Generally, there are large amounts of uncertain factors in the multi-attribute decision system. By using the gray relational degree and fuzzy gray relational degree, the weights of the comprehensive indexes are extracted. Then, a novel decision model is established based on the concept of relative similarity degree. Finally, comparative research is carried out taking the maritime safety engineering construction in Hunan Province, China, as an example to verify that the developed model is rather effective and practical for its high resolution and sensitivity in multi-attribute decision.
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spelling pubmed-92323172022-06-25 Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application Sui, Ling Liang, Xiaojie Huang, Qilong Comput Intell Neurosci Research Article Generally, there are large amounts of uncertain factors in the multi-attribute decision system. By using the gray relational degree and fuzzy gray relational degree, the weights of the comprehensive indexes are extracted. Then, a novel decision model is established based on the concept of relative similarity degree. Finally, comparative research is carried out taking the maritime safety engineering construction in Hunan Province, China, as an example to verify that the developed model is rather effective and practical for its high resolution and sensitivity in multi-attribute decision. Hindawi 2022-06-17 /pmc/articles/PMC9232317/ /pubmed/35755725 http://dx.doi.org/10.1155/2022/4274795 Text en Copyright © 2022 Ling Sui et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sui, Ling
Liang, Xiaojie
Huang, Qilong
Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application
title Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application
title_full Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application
title_fullStr Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application
title_full_unstemmed Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application
title_short Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application
title_sort development of a relative similarity degree based engineering construction multi-attribute decision model and its application
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232317/
https://www.ncbi.nlm.nih.gov/pubmed/35755725
http://dx.doi.org/10.1155/2022/4274795
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