Knowledge In The Complex System In Predicting The Reduction Algorithm And Its Expressed

Aiming at the properties of complex uncertainty system, the paper has introduced the new methods which organically combined the theory and method of knowledge discovery with those of the traditional forecast. Aiming a important aspect of forecast of complex uncertainty system-to disvover and mine incomplete&inaccurate knowledge,the author has proposed thesimplifying algorithms of attribute and value reduction based on rough sets. These two kinds ofalgorithms reduced the complexity and operation quantity,and provided a good direction ofstudy for relative research. For representation of classification knowledge,the author hasproposed a simplifying algorithm which can ruduce the complexity degree of constructingconcept lattice,and this has some theory value.Major research work in this paper includes:( 1) The author has studied the properties of complex uncertainty system and the theory and method of traditional forecast.The author has also studied the theories which organically combined the theory and method of knowledge discovery with those of the traditional forecast,and introduced some circumstances of studies at present.(2) Aiming at the characteristics of traditional statistics and the theory of probability inapplicable to forecast the large amount of data the author have studied the data mining algorithm of classification knowledge based on rough sets. According to the features of rough sets that mainly studies incomplete and inaccurate knowledge and need not added information such as prior knowledge, this author have studied basic knowledge based on rough sets,mining algorithm of classification knowledge relating with attribute and value reduction algorithms.After those studies,the author has proposed the simplifying algorithms of attribute and value reduction .These two kinds of algorithms reduced the complexity in conventional algorithm and eliminated the knowledge redundancy in the mined knowledge base.(3) On the basis of rough sets and data mining algorithm the author have studied the representation method of concept lattice for classification knowledge,and introduced the theory of concept lattice and method of knowledge representation, presented mining algorithm of complete classification knowledge.The authour's studies focus on the structure of classification knowledge representation with its constructing algorithm. Based on cognition psychology and information entropy the author has proposed a simplifying algorithm that reduced theconstruction complexity degree.