Knowledge Expression and Its Application Based on Multiple Valued logic
Wang Shou · Dianzi xuebao · 2000
In this paper we use multiple valued logic (MVL) to express the knowledge in expert systems and deal with the uncertainties in nature.The extraction of MVL rules from fuzzy rules,the mixed expression of binary and MVL,the transition from binary logic to MVL,the transition between MVL rules based on different operators,and using pipelining to accelerate the matching of rule based expert systems are proposed.The knowledge expressed in MVL is used to optimize the parameter in the adaptive algorithm of electro hydraulic servo systems for the first time.Parameter optimization further improves the control performances of the adaptive controller.