Multi-attribute decision-making method based on Taylor expansion

Determining attribute weights is an indispensable step in multi-attribute decision-making problems, and it is also a top priority in the study of multi-attribute decision-making problems. Existing methods for determining attribute weights do not completely and effectively reflect the decision-maker’...

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Main Authors: Peng Sun, Jiawei Yang, Yongfeng Zhi
Format: Article
Language:English
Published: Wiley 2019-03-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147719836078
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author Peng Sun
Jiawei Yang
Yongfeng Zhi
author_facet Peng Sun
Jiawei Yang
Yongfeng Zhi
author_sort Peng Sun
collection DOAJ
description Determining attribute weights is an indispensable step in multi-attribute decision-making problems, and it is also a top priority in the study of multi-attribute decision-making problems. Existing methods for determining attribute weights do not completely and effectively reflect the decision-maker’s dependency preferences, which will result in unreasonable ranking results for decision-makers. To solve this problem, this article proposes a feature-weighted multi-attribute decision-making method based on Taylor expansion. The method uses the natural base and the eigenvalues of the matrix to construct the feature-weighted coefficients and weights; normalizes all the feature vectors of the matrix; and constructs a new weight vector. Combined with the example to analyze and verify, the method makes reasonable use of all decision information, which saves the decision time of decision-makers.
format Article
id doaj-art-b16dbfe40522428f94c2ab04a2aaefe4
institution OA Journals
issn 1550-1477
language English
publishDate 2019-03-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-b16dbfe40522428f94c2ab04a2aaefe42025-08-20T02:23:34ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-03-011510.1177/1550147719836078Multi-attribute decision-making method based on Taylor expansionPeng SunJiawei YangYongfeng ZhiDetermining attribute weights is an indispensable step in multi-attribute decision-making problems, and it is also a top priority in the study of multi-attribute decision-making problems. Existing methods for determining attribute weights do not completely and effectively reflect the decision-maker’s dependency preferences, which will result in unreasonable ranking results for decision-makers. To solve this problem, this article proposes a feature-weighted multi-attribute decision-making method based on Taylor expansion. The method uses the natural base and the eigenvalues of the matrix to construct the feature-weighted coefficients and weights; normalizes all the feature vectors of the matrix; and constructs a new weight vector. Combined with the example to analyze and verify, the method makes reasonable use of all decision information, which saves the decision time of decision-makers.https://doi.org/10.1177/1550147719836078
spellingShingle Peng Sun
Jiawei Yang
Yongfeng Zhi
Multi-attribute decision-making method based on Taylor expansion
International Journal of Distributed Sensor Networks
title Multi-attribute decision-making method based on Taylor expansion
title_full Multi-attribute decision-making method based on Taylor expansion
title_fullStr Multi-attribute decision-making method based on Taylor expansion
title_full_unstemmed Multi-attribute decision-making method based on Taylor expansion
title_short Multi-attribute decision-making method based on Taylor expansion
title_sort multi attribute decision making method based on taylor expansion
url https://doi.org/10.1177/1550147719836078
work_keys_str_mv AT pengsun multiattributedecisionmakingmethodbasedontaylorexpansion
AT jiaweiyang multiattributedecisionmakingmethodbasedontaylorexpansion
AT yongfengzhi multiattributedecisionmakingmethodbasedontaylorexpansion