摘要
In this paper we propose a new similarity measures in order to overcome some problems in [1],and proposethe idea for similarity direction of vague sets by which to describe which one is more accurate between vague sets. Atsame time we propose a method to determine the similarity direction. Based on above,we present a new bidirectionalapproximate reasoning approach on vague set that fully uses the message accuracy of vague set. So this improves theaccruacy and applicability of approximate reasoning. This provides a useful tool for approximate reasoning in intelli-gence system.
In this paper we propose a new similarity measures in order to overcome some problems in [1], and propose the idea for similarity direction of vague sets by which to describe which one is more accurate between vague sets. At same time we propose a method to determine the similarity direction. Based on above,we present a new bidirectional approximate reasoning approach on vague set that fully uses the message accuracy of vague set. So this improves the accruacy and applicability of approximate reasoning. This provides a useful tool for approximate reasoning in intelligence system.
出处
《计算机科学》
CSCD
北大核心
2003年第1期74-77,共4页
Computer Science
基金
国家高性能计算基金(00303)
华中科技大学科学研究基金(M99015)
关键词
VAGUE集
双向近似推理
模糊集
智能系统
信息精确性
Fuzzy set
Vague set .Similarity measures
Similarity direction
Bidirectional approximate reasoning
