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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2009: Knowledge-Based and Intelligent Information and Engineering Systems pp 195–202Cite as

A Fuzzy Risk Assessment in Software Development Defuzzified by Signed Distance

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5712))

Abstract

In this paper, we present computational rule inferences to tackle the rate of aggregative risk in fuzzy circumstances. Based on the maximum membership grade principle, we apply the signed distance to defuzzify which is better than by the centroid. The proposed fuzzy assessment method is easier, closer to evaluator real thinking and more useful than the ones which have presented before.

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References

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Author information

Authors and Affiliations

  1. Department of Information Management, Chinese Culture University, 55, Hwa-Kung Road, Yang-Ming-San, Taipei, (11114), Taiwan

    Huey-Ming Lee

  2. Department of International Business, China University of Technology, 56, Sec. 3, Hsing-Lung Road, Taipei, (116), Taiwan

    Lily Lin

Authors
  1. Huey-Ming Lee
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  2. Lily Lin
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Editor information

Editors and Affiliations

  1. University of Chile, Republica 701, 8370439, Santiago, Chile

    Juan D. Velásquez  & Sebastián A. Ríos  & 

  2. University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2009 Springer-Verlag Berlin Heidelberg

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Lee, HM., Lin, L. (2009). A Fuzzy Risk Assessment in Software Development Defuzzified by Signed Distance. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_25

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  • DOI: https://doi.org/10.1007/978-3-642-04592-9_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04591-2

  • Online ISBN: 978-3-642-04592-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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