基于Vague集的双向近似推理  

A New Bidirectional Approximate Reasoning Approach Based on Vague Set

作　　者：王天江[1] 卢正鼎[1] 李凡[1] 

机构地区：[1]华中科技大学计算机学院,武汉430074

出　　处：《计算机科学》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)

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.

关 键 词：VAGUE集 双向近似推理 模糊集 智能系统 信息精确性 

分 类 号：O159[理学—数学] TP18[理学—基础数学]