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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Multi-attribute Weight Allocation Based on Fuzzy Clustering Analysis and Rough Sets
verfasst von : Jing Wu, Xiaoyan Wu, Zhongchang Gao
Erschienen in: Advances in Computation and Intelligence
Verlag: Springer Berlin Heidelberg
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The reasonalbe and effective determination of the weight allocation is very critical to multi-attribute decision-making. This paper presents a novel multi-attribute weight allocation method based on the fuzzy clustering analysis and the information entropy theory in rough sets theory. It first studies the fuzzy clustering analysis method based on fuzzy transitive closure with the introduction of the information entropy theory in rough sets. Furthermore, it discusses the detailed steps of the proposed approach thoroughly . After the fuzzy clustering of the source data, the overall reasonable threshold is extracted based on F-statistics and the multi-attribute weight allocation is obtained using the information entropy theory. Finally, a case study is given to show the reasonability and validity of the proposed approach.