An Approach To Develop Knowledge Modeling Framework - Case Study Using Ayurvedic Medicine
Asoka Somabandu Karunananda, Sri Lanka · 2005
This paper provides a methodology aimed at better measuring tacit knowledge in Ayurvedic medicine. Among other areas, western medicine has heavily used the expert systems technology. There are very little applications of expert system technology for alternative systems of medicine. Since these areas have more implicit form of knowledge, the development of expert systems for such areas contributes both expert system technology and domain of alternative systems of medicine. This paper describes our research into development of expert systems for Ayurvedic medicine, which has won a big recognition on these days. Since Ayurvedic medicine is strongly based on the concept of individuality for diagnosis of diseases and prescription of treatments, the research has been conducted to model Ayurvedic knowledge on recognition of individuals. An expert system has been developed to recognize human constitution according to Ayurvedic medicine. A statistical technique of principle component has been used to analyze the classification of individuals. Fuzzy-expert system has been developed to model knowledge by eliminating the limitations associated with the PC analysis. The system has been tested against the medical practioners of Ayurvedic medicine and gained 77% accuracy. It is found that the fuzzyexpert system developed can be used as a decision support system tool for Ayurvedic practioners and as a learning system for Ayurvedic medical students. The system has also been developed as a framework that can be used to model Ayurvedic like domains where the knowledge is rather implicit or tacit. So, PC and Fuzzy logic has been developed as modules that can be integrated with a standard expert system shell.