• CONSTRUCTION OF FUZZY PETRI NETS USING DATA MINING RULES FOR BREAST CANCER DATA

Abstract

Fuzzy Petri nets (FPNs) are a potential modeling technique which is used for knowledge representation and reasoning of rule-based expert systems. An expert system based on Fuzzy rule based systems are common, and specification of those systems by tools like Petri nets encourage more research work nowadays. The theme of this paper is to produce an iterative scheme using data mining techniques for extracting optimal set of rules. The best accuracies of such models are devised. The result obtained is used for generating the optimal rule base for predicting the Breast cancer results.