CH与COR联合机制耦合混杂分布估计算法的模糊规则优化研究  

ON OPTIMISING FUZZY RULES OF COUPLED HYBRID DISTRIBUTION ESTIMATION ALGORITHM WITH CH-COR JOINT MECHANISM

作　　者：韩应江[1] 

机构地区：[1]河南建筑职业技术学院信息工程系,河南郑州450064

出　　处：《计算机应用与软件》2015年第8期308-314,共7页Computer Applications and Software

基　　金：河南省科技攻关项目(122300410281)

摘　　要：为了降低当前模糊规则优化学习算法的时间复杂度,加快其收敛速度,基于单变量边缘分布估计算法,引入CH(Cordon and Herrera)与COR(Cooperative Rules Methodology)机制,提出混杂分布估计算法耦合CH(Cordon and Herrera)与COR联合机制的模糊规则优化算法研究;对算法的时间复杂度进行理论推导和分析证明,构建算法的分布概率模型。首先使用CH机制产生变量空间;再由COR方法完备的候选规则库;然后利用多种群变量无关分布估计算法MUMDA(Univariate Marginal Distribution Algorithm)进行规则学习,通过增加种群的多样性,减少算法陷入局部最优解的可能;最后对该算法进行实验验证。实验对比结果可以看出,该设计的混杂优化算法的计算,可获得精度较高、可理解性较强的模糊规则库,便于模糊系统在实际工程中的应用。In order to reduce the time complexity of current fuzzy rules optimisation learning algorithm and to speed up the convergence rate,based on univariate marginal distribution estimation algorithm,we introduced CH（ Cordon Herrera） and COR（ cooperative rules）mechanisms,and presented the study of fuzzy rules optimisation algorithm which couples the hybrid distribution estimation algorithm with the CH and COR joint mechanism; Moreover we carried out the theoretical derivation and analytical demonstration on the time complexity of the algorithm,and built the distribution probability model of the algorithm. First,we employed CH mechanism to generate variable space,and completed the candidate rules library with COR method. Then,we used the MUMDA（ multi-population variable irrelative distribution estimation algorithm） for rules learning,by increasing the diversity of population the possibility of the algorithm falling into local optimal was diminished. Finally we conducted the experimental validation on the algorithm,it is shown by the experimental comparison result that the hybrid optimisation algorithm designed in the paper could obtain a fuzzy rules library with high accuracy and better comprehensibility,and this facilitated the fuzzy system to be applied in practical projects.

关 键 词：分布估计算法 模糊规则优化 分布概率模型 混杂优化算法 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]