標題: Solving consensus measure of ambiguous MPDM problems using vague sets - An application to of risk assessment
作者: Lo, CC
Wang, P
Chao, KM
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: MPDM;vague sets;similarity measure;consensus;BS7799
公開日期: 2005
摘要: The traditional consensus-evaluation method determines the solution by fuzzy set, but it cannot treat the negative evidence for membership function. In this paper, we present a new method for consensus measure in the risk assessment process by relaxing many assumptions on existing hesitation situations. A new similarity measure of vague sets is introduced A fuzzy synthetic evaluation method is employed to attain the consensus interval of the group via the agreement matrix for Group Decision Making (GDM) problems. The proposed solution algorithm is presented and two consensus policies are given to consensus analysis of risk assessment guided by BS7799. The proposed method improves the soft consensus method proposed by Kacprzyk and Fedrizzi and analyzes the variation trend of group consensus using similarity measures of vague sets and consensus index. From numerical illustrations, the usefulness and efficiency of the proposed method has shown, particularly in a situation with vague and ill-defined data.
URI: http://hdl.handle.net/11536/17642
http://dx.doi.org/10.1109/CSCWD.2005.194300
ISBN: 1-84600-002-5
DOI: 10.1109/CSCWD.2005.194300
期刊: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, VOLS 1 AND 2
起始頁: 867
結束頁: 872
顯示於類別:會議論文


文件中的檔案:

  1. 000230443400155.pdf