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- W2932938893 abstract "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." @default.
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- W2932938893 date "2019-03-01" @default.
- W2932938893 modified "2023-10-14" @default.
- W2932938893 title "Multi-attribute decision-making method based on Taylor expansion" @default.
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- W2932938893 doi "https://doi.org/10.1177/1550147719836078" @default.
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