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- W2376815801 abstract "A multi-criteria classification approach with incomplete certain information and the reference set base on optimizing deviation of categories is proposed.Using classification to reference set and incomplete certain information on weights,nonlinear programming is constructed based on maximizing deviations between categories and minimizing deviations on categories.The criteria weights and utilities of alternative in reference set under criteria are obtained by using genetic algorithms to solve the nonlinear programming model.The utility of alternatives is gained by using interpolation.The deviations of alternatives and categories are computed,and the alternatives are classified.An example shows the feasibility and availability of the proposed approach." @default.
- W2376815801 created "2016-06-24" @default.
- W2376815801 creator A5073319434 @default.
- W2376815801 date "2006-01-01" @default.
- W2376815801 modified "2023-09-26" @default.
- W2376815801 title "Multi-criteria Classification Approach with Incomplete Certain Information Based on Optimizing Deviation of Categories" @default.
- W2376815801 hasPublicationYear "2006" @default.
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