Approximate reasoning for oriental traditional medical expert systems

Compositional inference is an approach for approximate reasoning. This kind of inference is applied popularly in building rule-based compositional systems for medicine as MYCIN [4], CADIAG-2 [1], [3]. These systems are rule based, that is, their knowledge consists of rules of the form IF (premise) THEN (conclusion) with some weight (degree of belief), and compositional, that is, they combine effects of particular rules using a binary combining function to compute their joint effect [7]. This paper proposes an approach to applying the approximate reasoning for oriental traditional medical rule-based compositional systems. In general, the diagnosis of oriental traditional medicine includes a syndrome differentiation (BatCuong), internal organs (TangPhu) diagnosis etc. The diagnosis process in oriental traditional medicine called BienChung. As the pathogenesis (BatCuong, TangPhu...) is convinced, then the prescription can be given. The result of BienChung may be composition of two or more Syndromes of pathogenesis. Here we describe the Diagnosis Process of Oriental Traditional Medicine (OTM) using compositions of rules as an inference mechanism model of BienChung system of OTM. It accepts fuzzy descriptions of the patient's symptoms and their fuzzy relationships in the form of rules and of negation of rules then infers descriptions of diagnoses as BatCuong, TangPhu, Pathogenesis composing BatCuong and TangPhu...according to the theory of oriental traditional medicine.