A Novel Rough Net Approach for Rules Representation and Verification

نویسنده

  • Hala S. Own
چکیده

Abstract: Rule based systems store knowledge as a set of rules and reason over them to solve problems. A new hype rough net approach for rule generation, representation and reasoning of knowledge-based system using rough sets and Petri nets is presented in this paper. A Rough Petri Net (RPN) is proposed for representing knowledge and formalism for the verification of rule-based systems. The main stages of the proposed approach are: Rules will be first generated and normalized, then transform the normalized rules into a Rough Petri net, and finally we verify these normalized rules. A rough Petri net model (RPN) is presented to represent the rule of a rule-based system in which a rough production rule describes the rough relation between two propositions. An algorithm is presented for checking the consistency of a rough knowledge based via a set of reduction rules that preserve the properties of the RPN.

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تاریخ انتشار 2006