A multi-attribute large group emergency decision making method based on group preference consistency of generalized interval-valued trapezoidal fuzzy numbers

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• 作者：Xuanhua Xu ; Chenguang Cai ; Xiaohong Chen…
• 关键词：Generalized interval ; valued trapezoidal fuzzy numbers ; large group decision making ; group preference consistency ; emergency response
• 刊名：Journal of Systems Science and Systems Engineering
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：24
• 期：2
• 页码：211-228
• 全文大小：663 KB
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• 作者单位：Xuanhua Xu (1)
  Chenguang Cai (1)
  Xiaohong Chen (1)
  Yanju Zhou (1)
  
  1. School of Business, Central South University, Changsha, 410083, China
  
• 刊物类别：Engineering
• 刊物主题：Systems and Information Theory in Engineering
  Game Theory and Mathematical Methods
  Operation Research and Decision Theory
  Chinese Library of Science
  
• 出版者：Systems Engineering Society of China, co-published with Springer-Verlag GmbH
• ISSN：1861-9576

文摘

In this paper, a new decision making approach is proposed for the multi-attribute large group emergency decision-making problem that attribute weights are unknown and expert preference information is expressed by generalized interval-valued trapezoidal fuzzy numbers (GITFNs). Firstly, a degree of similarity formula between GITFNs is presented. Secondly, expert preference information on different alternatives is clustered into several aggregations via the fuzzy clustering method. As the clustering proceeds, an index of group preference consistency is introduced to ensure the clustering effect, and then the group preference information on different alternatives is obtained. Thirdly, the TOPSIS method is used to rank the alternatives. Finally, an example is taken to show the feasibility and effectiveness of this approach. These method can ensure the consistency degree of group preference, thus decision efficiency of emergency response activities can be improved.