Fuzzy Algorithm for Group Decision Making With Participants Having Finite Discriminating Abilities
Fuzzy Algorithm for Group Decision Making With Participants Having Finite Discriminating Abilities
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DOI：
10.1109/tsmca.2009.2007946
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
C. A. Kobashikawa;Yutaka Hatakeyama;F. Dong;K. Hirota
中科院分区：
文献类型：
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作者：
C. A. Kobashikawa;Yutaka Hatakeyama;F. Dong;K. Hirota
针对真实的决策者的有限鉴别能力，提出了一种基于模糊推理的群决策算法。它提供了一种解决方案，可以捕捉和纳入真实的人在声明他们的偏好时的不精确性，因此，它更忠实地反映了DM的意见。将该算法应用于一个具有两个DM和三个选项的存储区域网采购项目。它显示了该算法如何可以提供一个独特的解决方案，而传统的干脆的方法要么无法做到这一点，或揭示了选择的风险，在16.5%的情况下，一个选项，不匹配的DM作为一个整体的组所宣布的偏好。该算法的目的是过程中的选项是难以评估的情况下，清楚地表明，人类不能提供不真实的脆值，解决方案的变化，如果偏好信息只是部分采取。
A fuzzy inference-based algorithm with rules using the Nash solution is proposed for group decision making considering the finite discriminating abilities of real decision makers (DMs). It provides a solution that can capture and incorporate the imprecision of real people at declaring their preferences, and hence, it reflects more faithfully the DMs' opinions. The algorithm is applied to a purchase project of a storage area network with two DMs and three options. It shows how the algorithm can provide a unique solution whereas customary crisp methods are either unable to do it or reveal a risk of choosing, in 16.5% of the cases, an option that does not match with the preferences declared by the group of DMs as a whole. The algorithm aims for processes where the options are difficult to evaluate, circumstance that makes clear that human beings cannot provide unreal crisp values, and that the solution changes if preference information is only partially taken.