Most expert systems infer typically by using knowledges i.e.. rules and facts. If we grouped knowledges of the expert system effectively, it is very easy to maintain them. And we also can infer new knowledges from them efficiently because the inferenc...
Most expert systems infer typically by using knowledges i.e.. rules and facts. If we grouped knowledges of the expert system effectively, it is very easy to maintain them. And we also can infer new knowledges from them efficiently because the inference is done only on a set of the finite grouped knowledges. In this paper, we propose a method in which some common attributed knowledges or some related knowledges are grouping efficiently. To show in we describe and algorithm which groups the rules of the expert system. and also we present a method which infers new knowledges by using the grouped knowledges.