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Advantage matrix: two novel multi-attribute decision-making methods and their applications

By comparing attributes of objects in an information system, the advantage matrix on the object set is established in this paper. The contributions can be identified as follows: (1) The advantage degree is proposed by the accumulation of the advantage matrix. (2) Based on the advantage matrix, the a...

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Detalles Bibliográficos
Autores principales: Yu, Bin, Xu, Zeshui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762995/
https://www.ncbi.nlm.nih.gov/pubmed/35068650
http://dx.doi.org/10.1007/s10462-021-10126-9
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author Yu, Bin
Xu, Zeshui
author_facet Yu, Bin
Xu, Zeshui
author_sort Yu, Bin
collection PubMed
description By comparing attributes of objects in an information system, the advantage matrix on the object set is established in this paper. The contributions can be identified as follows: (1) The advantage degree is proposed by the accumulation of the advantage matrix. (2) Based on the advantage matrix, the advantage (disadvantage) neighborhood approximation operator and the advantage (disadvantage) correlation approximation operator are defined and studied. Based on these two new operators, the neighborhood degree and the correlation degree are presented. The relationships between them are also investigated to demonstrate the value of the proposed method. (3) Finally, based on the above three degrees, new algorithms are designed, in which the effectiveness and robustness of the algorithms are analyzed by practical examples.
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spelling pubmed-87629952022-01-18 Advantage matrix: two novel multi-attribute decision-making methods and their applications Yu, Bin Xu, Zeshui Artif Intell Rev Article By comparing attributes of objects in an information system, the advantage matrix on the object set is established in this paper. The contributions can be identified as follows: (1) The advantage degree is proposed by the accumulation of the advantage matrix. (2) Based on the advantage matrix, the advantage (disadvantage) neighborhood approximation operator and the advantage (disadvantage) correlation approximation operator are defined and studied. Based on these two new operators, the neighborhood degree and the correlation degree are presented. The relationships between them are also investigated to demonstrate the value of the proposed method. (3) Finally, based on the above three degrees, new algorithms are designed, in which the effectiveness and robustness of the algorithms are analyzed by practical examples. Springer Netherlands 2022-01-17 2022 /pmc/articles/PMC8762995/ /pubmed/35068650 http://dx.doi.org/10.1007/s10462-021-10126-9 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Yu, Bin
Xu, Zeshui
Advantage matrix: two novel multi-attribute decision-making methods and their applications
title Advantage matrix: two novel multi-attribute decision-making methods and their applications
title_full Advantage matrix: two novel multi-attribute decision-making methods and their applications
title_fullStr Advantage matrix: two novel multi-attribute decision-making methods and their applications
title_full_unstemmed Advantage matrix: two novel multi-attribute decision-making methods and their applications
title_short Advantage matrix: two novel multi-attribute decision-making methods and their applications
title_sort advantage matrix: two novel multi-attribute decision-making methods and their applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762995/
https://www.ncbi.nlm.nih.gov/pubmed/35068650
http://dx.doi.org/10.1007/s10462-021-10126-9
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