Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based on Fuzzy State Description  

作　　者：Yang Bingru & Tang JingDept. of Computer Science and Engineering, University of Science and Technology, Beijing 100083, P.R.China(Received May 23, 2001) 

出　　处：《Journal of Systems Engineering and Electronics》2002年第2期64-70,共7页系统工程与电子技术（英文版）

基　　金：This project was supported by the National Natural Science Foundation of China (No. 69835001).

摘　　要：A framework of knowledge representation of fuzzy language field and fuzzy language value structure is shown. Then the generalized cell automation that can synthetically process fuzzy indeterminacy and random indeterminacy and generalized inductive logic causal model are put forward. On this basis, the logic indeterminacy causal inductive automatic reasoning mechanism which is based on fuzzy state description is presented. At the end of this paper its application in the development of intelligent controller is discussed.A framework of knowledge representation of fuzzy language field and fuzzy language value structure is shown. Then the generalized cell automation that can synthetically process fuzzy indeterminacy and random indeterminacy and generalized inductive logic causal model are put forward. On this basis, the logic indeterminacy causal inductive automatic reasoning mechanism which is based on fuzzy state description is presented. At the end of this paper its application in the development of intelligent controller is discussed.

关 键 词：Control systems Fuzzy sets 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]