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  • 标题:A New Approach for Dealing with Uncertain Degree in Group Judgment Aggregation using Triangular Intuitionistic Fuzzy Numbers
  • 本地全文:下载
  • 作者:Le Ngoc Son ; Daji Ergu ; Pham Xuan Kien
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2014
  • 卷号:4
  • 期号:2
  • 页码:34-39
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Abstract—The goal of this paper is to propose a new approach for aggregating group judgment using the triangular intuitionistic fuzzy number (IFN). The original group decision making (GDM) problems are converted to a triangular intuitionistic fuzzy decision making model by adding one simple conversion step which generates triangular IFNs from the mean and deviation of group judgment values to the process of GDM methods and inherits existing techniques. Using of triangular IFNs to express group judgment aggregation values keeps completely the information after aggregating and reflects evaluation more truthfully. Consequently, the application of the proposed model helps improve the efficiency and accuracy of GDM methods. In addition, an illustrative example is also presented in order to put this process in detail and comparing with conventional methods.
  • 关键词:Group decision making; triangular;intuitionistic fuzzy set; group judgment; group aggregation
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