Journal of Frontiers of Computer Science and Technology ›› 2012, Vol. 6 ›› Issue (9): 810-821.DOI: 10.3778/j.issn.1673-9418.2012.09.005

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Group Decision Making Method with Preference Information Based on Dynamic Fuzzy Theory

PAN Qing, LI Fanzhang+   

  1. College of Computer Science and Technology, Soochow University, Suzhou, Jiangsu 215006, China
  • Online:2012-09-01 Published:2012-09-03


潘  青,李凡长+   

  1. 苏州大学 计算机科学与技术学院,江苏 苏州 215006

Abstract: Group decision making problem is one of the core problems in decision science. To solve group decision making problems from a dynamic perspective, this paper proposes one kind of decision making method based on the dynamic fuzzy representation. Firstly, it establishes the model of the problems on five stages which include the expression of individual preference information, analysis of individual preference data, aggregation of preference information, alternative selection and feedback. Finally, the experimental results on a restaurant selection case illustrate that the proposed method is feasible and reasonable.

Key words: group decision making, dynamic fuzzy, preference information

摘要: 群体决策问题是决策科学的核心问题之一。基于动态模糊理论,从动态角度研究群体决策问题,提出了一种动态模糊形式化关系决策方法。从个体偏好信息表达、个体偏好数据分析、个体偏好集结、方案选择和意见反馈五个阶段探讨了动态模糊群体决策模型,并通过实例验证了该模型的可行性和合理性。

关键词: 群体决策, 动态模糊, 偏好信息