Alternatif Implementasi Basis Pengetahuan dalam Sistem Berbasis Aturan Fuzzy

Mewati Ayub

Abstract


The main elements of a fuzzy rule based system are a knowledge base and an inference engine. In this paper we present two alternatives for implementing knowledge base in a fuzzy rule based system. The first one implements knowledge base as a part of an inference engine program written in Java programming languange. The other implements knowledge base as a separate part from an inference engine program. Parser as a separate tool is needed in the later alternative to translate knowledge base in some structured semi-natural language into an intermediate format in a text file to be read efficiently by the inference engine. Comparisons between the two alternatives are discussed and some suggestions for development are given.


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