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Fuzzy Group Evaluating the Aggregative Risk Rate of Software Development

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6277))

Abstract

In this paper, we propose the fuzzy group decision making to tackle the rate of aggregative risk in software development. The proposed method is easily implemented and also suitable for only one evaluator.

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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. School of Engineering, The Parade, Cardiff University, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, BUckingham Building, Lion Terrace, University of Portsmouth, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157 St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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© 2010 Springer-Verlag Berlin Heidelberg

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Lee, HM., Lin, L. (2010). Fuzzy Group Evaluating the Aggregative Risk Rate of Software Development. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15390-7_45

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  • DOI: https://doi.org/10.1007/978-3-642-15390-7_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15389-1

  • Online ISBN: 978-3-642-15390-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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