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Enterprise Financial Status Synthetic Evaluation Based on Fuzzy Rough Set Theory

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Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5559))

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.

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Author information

Authors and Affiliations

  1. Department of Business Administration, National Kaohsiung University of Applied Sciences, Taiwan

    Ming-Chang Lee & Jui-Fang Chang

Authors
  1. Ming-Chang Lee
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  2. Jui-Fang Chang
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Editor information

Editors and Affiliations

  1. Department of Computer and Systems Science, Stockholm University, Forum 100, 164 40, Kista, Sweden

    Anne Håkansson

  2. Institute of Informatics, Wroclaw University of Technology, Str. Janiszweskiego 11/17, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Department of Computer Science, Franklin University, 201 South Grant Ave., 43215, Columbus, Ohio, USA

    Ronald L. Hartung

  4. School of Environment and Technology, Centre for SMART Systems, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  5. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2009 Springer-Verlag Berlin Heidelberg

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Lee, MC., Chang, JF. (2009). Enterprise Financial Status Synthetic Evaluation Based on Fuzzy Rough Set Theory. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_54

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  • DOI: https://doi.org/10.1007/978-3-642-01665-3_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01664-6

  • Online ISBN: 978-3-642-01665-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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