系统工程与电子技术

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多粒度背景下直觉模糊信息系统的粗糙集及其决策

郭庆1,2, 吴磊1,2   

  1. 1. 合肥工业大学管理学院, 安徽 合肥 230009; 2. 合肥工业大学数学学院, 安徽 合肥 230009
  • 出版日期:2016-01-30 发布日期:2010-01-03

Rough set model and decision in intuitionistic fuzzy information system based on multi-granulation

GUO Qing1,2, WU Lei1,2   

  1. 1.School of Managements, Hefei University of Technology, Hefei 230009, China;
    2. School of Mathematics, Hefei University of Technology, Hefei 230009, China
  • Online:2016-01-30 Published:2010-01-03

摘要:

从多粒度视角研究了直觉模糊信息系统,定义了优势关系,给出了乐观和悲观的两种模型,研究了其性质及其与单粒度模型的联系与区别,并且给出了决策规则的置信度因子及其决策规则的获取方法,定义了多粒度直觉模糊决策系统的属性重要度,将其应用到多专家综合决策中,从而弥补了单粒度直觉模糊粗糙集的不足,最后通过一个实例验证了本文理论方法的正确性与有效性。

Abstract:

The intuitionistic fuzzy information system (IFIS) is further investigated from the point of multi-granulation. The optimistic model as well as the pessimistic models are proposed by dominance relation. Then not only their properties are researched but also the differences and relationships between single granulation and multi-granulation model are discussed. Moreover, the certainty factor of the decision rule and the acquired method are then given. The attribute importance degree in the multi-granulation intuitionistic fuzzy decision system is defined and applied in multi-expert decision to make up for the deficiency of the single granulation model. Finally, a numerical example is given to demonstrate the correctness and effectiveness of the proposed method.