Design And Implementation Of Development Environment Of Fuzzy Intelligent System

Based on researching the modeling of fuzzy intelligent system, combined with such theories and methods as fuzzy logic, neutral network, knowledge engineering and so on, a practicable approach of establishing an intelligent system making use of fuzzy knowledge is presented in this paper and according to this idea, a fuzzy knowledge based environment of intelligent system is designed and implemented. It is from two aspects of both knowledge representation and reasoning mechanism that the design and implementation of the environment are detailed.On the knowledge representation, isomerous representation of knowledge is realized. In knowledge-acquiring module, the notation of fuzzy knowledge frame based on XML is adopted; in reasoning module, the XML frame is parsed into JAVA knowledge objects. The existence of these two forms of knowledge makes system knowledge readable, friendly, platform-independent and network-transmittable when stored, and meanwhile makes it encapsulated, intelligent, quick-processing and etc. when reasoned.On the reasoning, the traditional reasoning model of Mamdani is expanded and various kinds of fuzzy knowledge can be matched and reasoned at one time; on the control strategy of reasoning, reverse reasoning and trace algorithm are selected; semantic distance of fuzzy variable is used to calculate the matching extent between fuzzy variables; at the same time, a processing module of mood operator is designed, making the reasoning system more accordant to human thinking custom.On the member function generator, the sampling values of fuzzy variable are classified by the algorithm of fuzzy C-mean clustering, the member functions are generated through BP network based on the L-M optimized algorithm and the learning results are imported into files of XML language.In stead of using the conventional method of command line adopted by most intelligent developing tools, the method of window command is designed to achieve the intercourse with users, which reduces using difficulty and enhances the transparency of the system.