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Solving Consensus Measure of Ambiguous GDM Problems Using Vague Sets – An Application of Risk Assessment

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Computer Supported Cooperative Work in Design II (CSCWD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3865))

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Abstract

Consensus measure is an important process for group decision-making. The traditional consensus-evaluation method determines the solution by fuzzy set and cannot treat the negative evidence for membership function. In this paper, we present a method for consensus measure in the risk assessment process by relaxing assumptions about the existing of hesitation situation. First, a new similarity measure of vague sets is introduced. Then, a fuzzy synthetic evaluation method is employed to attain the consensus interval of the group via the agreement matrix. Finally, a real example of risk assessment guided by BS7799 is given to demonstrate our method. The proposed method applies the soft consensus method proposed by Kacprzyk and Fedrizzi, analyzes the variation trend of group consensus using similarity measures of vague sets and consensus index. From numerical illustrations, the usefulness of the proposed method has shown, particularly in a situation with vague and ill-defined data.

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Author information

Authors and Affiliations

  1. Institute of Information Management, National Chiao Tung University, Taiwan

    Chi-Chun Lo & Ping Wang

  2. DSM Research Group, School of MIS, Coventry University, UK

    Kuo-Ming Chao

Authors
  1. Chi-Chun Lo
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  2. Ping Wang
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  3. Kuo-Ming Chao
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Editor information

Editors and Affiliations

  1. Integrated Manufacturing Technologies Institute, National Research Council of Canada, 800 Collip Circle, N6G 4X8, London, ON, Canada

    Wei-ming Shen

  2. DSM Research Group, Department of Computer and Network Systems Coventry University, Coventry, UK

    Kuo-Ming Chao

  3. Institute of Computing Technology, Chinese Academy of Sciences, 100080, Beijing, China

    Zongkai Lin

  4. Centre de Recherches de Royallieu, Université de Technologie de Compiègne, 60205, Compiègne, France

    Jean-Paul A. Barthès

  5. Faculty of Engineering & Computing, Coventry University, Coventry, West Midlands, England, United Kingdom

    Anne James

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© 2006 Springer-Verlag Berlin Heidelberg

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Lo, CC., Wang, P., Chao, KM. (2006). Solving Consensus Measure of Ambiguous GDM Problems Using Vague Sets – An Application of Risk Assessment. In: Shen, Wm., Chao, KM., Lin, Z., Barthès, JP.A., James, A. (eds) Computer Supported Cooperative Work in Design II. CSCWD 2005. Lecture Notes in Computer Science, vol 3865. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11686699_58

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  • DOI: https://doi.org/10.1007/11686699_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32969-5

  • Online ISBN: 978-3-540-32970-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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