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Multiple attribute decision making based on fuzzy preference information on alternatives: Ranking and weighting
Wang, Y. M. ; Parkan, C. ; Wang YM(王艺明)
刊名http://dx.doi.org/10.1016/j.fss.2005.02.018
2005-08-01
关键词PRIORITY VECTOR MAJORITY MODELS
英文摘要This paper investigates the multiple attribute decision making (MADM) problem with fuzzy preference information on alternatives and proposes an eigenvector method to rank them. Three optimization models are introduced to assess the relative importance weights of attributes in a MADM problem, which integrate subjective fuzzy preference relations and objective information in different ways. Since the decisions these models lead to are based on both subjective and objective information, they are more balanced and credible than those that consider only one type of information. An example is provided to illustrate the application of the proposed models. (c) 2005 Elsevier B.V. All rights reserved.
语种英语
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/64871]  
专题经济学院-已发表论文
推荐引用方式
GB/T 7714
Wang, Y. M.,Parkan, C.,Wang YM. Multiple attribute decision making based on fuzzy preference information on alternatives: Ranking and weighting[J]. http://dx.doi.org/10.1016/j.fss.2005.02.018,2005.
APA Wang, Y. M.,Parkan, C.,&王艺明.(2005).Multiple attribute decision making based on fuzzy preference information on alternatives: Ranking and weighting.http://dx.doi.org/10.1016/j.fss.2005.02.018.
MLA Wang, Y. M.,et al."Multiple attribute decision making based on fuzzy preference information on alternatives: Ranking and weighting".http://dx.doi.org/10.1016/j.fss.2005.02.018 (2005).
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