会议专题

Determination of Relative Signi.cance Factor of Impact Categories based on Fuzzy Multiattribute Decision-Making Method

A relative signi.cance factor of an impact category is the external weight of the impact category and plays an important role in life cycle assessment(LCA). Many multiattribute decision-making (MADM) methods such as analytical hierarchy process(AHP), the rank-order centroid method and the fuzzy method are proposed to determine the relative significance factor of an impact category. However, in previous research, it is shown that, the AHP approach is dif.cult for experts rendering consistent judgment when the number of pairwise comparisons increases, the rank-order method has some insurmountable shortcomings, the key issue to use fuzzy set theory is its complexity. In order to address this problem, a new simple and effcient method is proposed to determine relative significance factor in a more ef.cient manner. An example to determine relative significance factor of impact categories is shown to illustrate the ef.ciency of the proposed method.

Multiattribute decision-making Fuzzy method Relative significance factor

Xinyang Deng Yajuan Zhang Bingyi Kang Jiyi Wu Xiaohong Sun Yong Deng

School of Computer and Information Sciences, Southwest University, Chongqing,400715, China Hangzhou Key Lab of E-Business and InformationSecurity, Hangzhou Normal University, Hangzhou, Zhejia College of Food Science and Technology, Shanghai Ocean University, 999 Hucheng Huan Road, Shanghai, School of Computer and Information Sciences, Southwest University, Chongqing,400715, China;Key Subje

国际会议

2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

四川绵阳

英文

2006-2009

2011-05-23(万方平台首次上网日期,不代表论文的发表时间)