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Methods for generating multiplicatively normalized interval and fuzzy weights
Wang, Xiaoyan ; Wang XY(王小燕)
2012
关键词Decision making
英文摘要Conference Name:2012 9th International Conference on Service Systems and Service Management, ICSSSM'12. Conference Address: Shanghai, China. Time:July 2, 2012 - July 4, 2012.; IEEE SMC; Tongji University; Tsinghua University; Natural Science Foundation of China (NSFC); In the interval and fuzzy multiple attribute decision making it is very important to estimate the corresponding set of normalized weights from the interval and fuzzy pairwise comparison matrix. Most existing works computing normalized weights which are under the condition of the conventional additive weights (sum is one). This paper, from another perspective, introduces the concept of multiplicative interval and fuzzy weights and proposes the corresponding normalization methods for multiplicative interval and fuzzy weights. Based on these definitions and theorems, a new eigenvalue method, where weights satisfy multiplicative preference relations rather than additive, is developed for obtaining multiplicatively normalized interval weights and subsequently the global weights from interval pairwise comparison matrices. Finally, numerical examples are examined to demonstrate proposed methods. 漏 2012 IEEE.
语种英语
出处http://dx.doi.org/10.1109/ICSSSM.2012.6252296
出版者IEEE Computer Society
内容类型其他
源URL[http://dspace.xmu.edu.cn/handle/2288/86242]  
专题物理技术-会议论文
推荐引用方式
GB/T 7714
Wang, Xiaoyan,Wang XY. Methods for generating multiplicatively normalized interval and fuzzy weights. 2012-01-01.
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