FUZZY MULTIREGRESSION NETWORK

摘要：

A novel regression model, called fuzzy multiregression network, is presented in this paper. Our network can represent the interactive relationship among fuzzy linguistic attributes and provide an effective reasoning procedure on prediction and decision making. Association among the predictive attributes in a network element is described by a nonadditive set function, while the causality between the predictive attributes and the objective attribute is determined by a user-defined fuzzy operator(s). A GA-based algorithm is developed for learning the regression coefficients in each network clement. The effectiveness and performance of the learning algorithm are investigated by series of experiments. A forward inference algorithm CMB-FKA is proposed to implement decision making and training data construction.

关键词： Fuzzy Number Regression Inference Nonadditive Set Function Genetic Algorithm

作者: RONG YANG

作者单位: College of Mechatronics and Control Engineering, Shen Zhen University, Shen Zhen, P.R.China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 929-934

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）