基于正相关信息的Fuzzy推理规则自生成研究及应用  

Based on the Relevant Information Rules of Self-generated Fuzzy Reasoning Research and Application

作　　者：魏林[1] 尹玉萍[2] 

机构地区：[1]辽宁工程技术大学理学院,阜新123000 [2]辽宁工程技术大学电气与控制工程学院,葫芦岛125105

出　　处：《机电一体化》2009年第5期56-58,共3页Mechatronics

摘　　要：为了在先验经验少、结构复杂的控制系统中，充分利用有效的统计样本信息来生成Fuzzy控制规则，克服统计正相关信息控制规则自生成技术，在大样本情况下得到模糊特异析取标准式有过多最小项的问题，利用模糊模式识别的方法，对Fuzzy推理规则自生成方法进行了改进研究，并通过试验仿真证明了该方法的可行性和有效性．In order to prior experience in the less and complex structure of the control system, make full use of effective statistical samples to generate Fuzzy control rules; In large numbers of sample cases, overcome the statistical informations on the relevantion generate rules of self-control existing too many minimum standards of the Fuzzy-specific standard-disjunction. The paper＇s use of fuzzy pattern recognition method for the inference rules since Fuzzy generation methods to do improving research and testing through simulation and prove the feasibility and effectiveness.

关 键 词：统计正相关 模糊特异析取标准式 最小项 模糊模式识别 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]