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Erschienen in:
2009 | OriginalPaper | Buchkapitel
The Method Research of Membership Degree Transformation in Multi-indexes Fuzzy Decision-Making
verfasst von : Kaidi Liu, Jin Wang, Yanjun Pang, Jimei Hao
Erschienen in: Cutting-Edge Research Topics on Multiple Criteria Decision Making
Verlag: Springer Berlin Heidelberg
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The conversion of membership degree is the key computation of fuzzy evaluation for multi-indexes fuzzy decision-making. But the method should be discussed, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new method is: based on data mining of entropy, mining knowledge information about object classification hidden in every index, affirming the relation of object classification and index membership, eliminating the redundant data in index membership for object classification by defining distinguishable weight, extracting valid values to compute object membership. Thus constructing a new membership degree conversion method that can not be effected by redundant data and it is used for fuzzy decision for multi-indexes.