Enterprise Financial Status Synthetic Evaluation Based on Fuzzy Rough Set Theory

Authors:
Ming-Chang Lee;Jui-Fang Chang
Affiliations:
Department of Business Administration, National Kaohsiung University of Applied Sciences,;Department of Business Administration, National Kaohsiung University of Applied Sciences,
Venue:
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Year:
2009

Citing 4
Cited 0

Rough classification

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Probabilistic rough sets characterized by fuzzy sets

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Abstract

Enterprise financial status synthetic evaluation is an important issue. The weight of synthesis evaluation is determined by expert, lending to subjectivity and without considering the redundancy of attributes exists in traditional synthetic evaluation. Recently, an attempt of integration between the theories of fuzzy set and rough sets has resulted in providing a roughness measure for fuzzy sets. Therefore, in this study, we firstly define the attribute reduction based on rough set theory. Secondly, we create membership function of each attributes. Using membership function, we can easily create the judgment matrix. Thirdly, we discuss the weight of attribute and measure of information. Finally, the methods of the synthesis evaluation are present with an example.