Method and Applications for Multiple Attribute Decision-Making Based on Converting Triangular Fuzzy Numbers into Connection Numbers

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• 关键词：Fuzzy multiple attribute decision ; making ; Triangular fuzzy number ; Identity ; Discrepancy ; Contrary (IDC) connection number ; Weight ; Virtual enterprise
• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10092
• 期：1
• 页码：281-292
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• 作者单位：Qing Shen (17)
  Yunliang Jiang (17)
  Xiongtao Zhang (17) (18)
  Jing Fan (17) (19)
  Yong Liu (19)
  
  17. School of Information Engineering, Huzhou University, Huzhou, 313000, China
  18. School of Digital Media, Jiangnan University, Wuxi, 214122, China
  19. National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China
  
• 丛书名：Transactions on Edutainment XIII
• ISBN：978-3-662-54395-5
• 卷排序：10092

文摘

When assessment information and preference information about alternatives are expressed through triangular fuzzy numbers, those numbers can be converted into identity-discrepancy-contrary connection numbers. Furthermore, multiple attribute decision-making is conducted using connection mathematics theory. The method is simple when attribute weights are unknown and it can both take full advantage of the valuator’s fuzzy information and satisfy the decision-maker’s preferences. Objective and reasonable fuzzy decision-making is accomplished under the precondition of avoiding the complex process of computing weights and identifying false decision-making caused by using the linear weighted sum model. The decision-making result using this method to solve a partner selection problem in virtual enterprises is similar to that of an established method based on expected values.