Fuzzy reasoning with WebSphere ILOG JRules
From the developerWorks archives
Date archived: November 22, 2016 | First published: December 14, 2011
This article proposes a method of applying WebSphere® ILOG JRules tooling to build a fuzzy reasoning system; that is, to make fuzzy assertions, express inference rules on these assertions, and draw fuzzy conclusions. ILOG Business Rules Management System supports classical inference-based forward-chain reasoning with a high-performance implementation of the Rete algorithm (Rete plus). Forward-chain reasoning is "sharp reasoning," that is, it derives facts from other "known" facts. However, sometimes the knowledge around a fact cannot be asserted to be true or false; for example, if I say "Joe is old," I may assert something qualitative, that cannot be objectively determined to be true: if Joe is 50, is he old or not? Fuzzy logic has been developed precisely to cope with and reason about such qualitative facts. This content is part of the IBM Business Process Management Journal.
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