基于Vague集的双向近似推理

• 作者: 卢正鼎 李凡 王天江
• 来源期刊: 计算机科学
• 学科: 工学
• 关键词: Fuzzy set,Vague set,Similarity measures,Similarity direction,Bidirectional approximate reasoning
• 年，卷（期）: 2003,（1）
• 所属期刊栏目: 人工智能
• 页码范围: 74-77
• 页数: 4页
• 分类号: TP3
• 字数: 4617字
• 语种: 中文
• DOI: 10.3969/j.issn.1002-137X.2003.01.021

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.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	卢正鼎	华中科技大学计算机学院	264	3116	25.0	39.0
2	王天江	华中科技大学计算机学院	30	257	11.0	13.0
3	李凡	华中科技大学计算机学院	98	1647	20.0	37.0