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从数据中挖掘模糊规则及其系统实现
引用本文:王永富,柴天佑.从数据中挖掘模糊规则及其系统实现[J].系统工程学报,2005,20(5):497-503.
作者姓名:王永富  柴天佑
作者单位:[1]东北大学教育部暨辽宁省流程工业综合自动化重点实验室,辽宁沈阳110004 [2]东北大学自动化研究中心,辽宁沈阳110004
基金项目:国家高技术研究发展计划资助项目(2004AA412030);国家重点基础研究发展计划资助项目(2002CB312201).
摘    要:针对一类多输入单输出模糊逻辑系统,提出一种简单而有效的方法从数据库中挖掘模糊规则.该方法产生的模糊规则库具有良好的完备性和鲁棒性,从仿真实验可以看出利用数据挖掘方法建立的模糊系统具有更好的逼近能力.为了使该方法在应用上具有良好的通用性,设计和实现了基于组件技术的数据挖掘系统.

关 键 词:模糊系统  模糊规则  完备性  鲁棒性  数据挖掘
文章编号:1000-5781(2005)05-0497-07
收稿时间:2004-02-25
修稿时间:2004-02-252005-06-06

Mining fuzzy rules from data and its system implementation
WANG Yong-fu, CHAI Tian-you.Mining fuzzy rules from data and its system implementation[J].Journal of Systems Engineering,2005,20(5):497-503.
Authors:WANG Yong-fu  CHAI Tian-you
Institution:1. Key Laboratory of Process Industry Automation, Ministry of Education, Shenyang 110004, China; 2. Research Center of Automation, Northeastern University, Shenyang 110004, China
Abstract:In this paper,we propose a simple but powerful method for automatically mining fuzzy if-then rules from database for a class of multiple-input-single-output fuzzy logic systems.The main advantage of the fuzzy rules base with the proposed method is its completeness and robustness.Using computer simulations on numerical data,a better approximate performance of the fuzzy system by the proposed method in fuzzy modeling is demonstrated.In order to be more applicable,we focus on designing and implementing a data mining system based on COM technology.
Keywords:fuzzy system  fuzzy rules  completeness  robustness  data mining
本文献已被 CNKI 维普 万方数据 等数据库收录!
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