Tacit Knowledge modeling in Intelligent Hybrid Systems

Abstract

Knowledge modelling gives the intention of knowledge engineering which applicable for managing information systems. Tacit knowledge is the key issue of knowledge modelling aspect because all knowledge is rooted in tacit knowledge. This paper presents a research, which is incorporated of modelling of tacit knowledge. Here we have used an Intelligent Hybrid system for developing an approach for modelling tacit knowledge. The Intelligent Hybrid system is involved with artificial intelligent techniques, namely fuzzy logic and expert system technology. We primarily used fuzzy logic together with statistical technique of principle component analysis for modelling tacit domains. Tacit knowledge in Ayurvedic sub-domain of individual classification has been acquired through a questionnaire and analysed to identify the dependencies, which lead to make tacit knowledge in the particular domain. In the first place analysis was done using statistical techniques of principle components and the results were not compatible with the experiences of Ayurvedic experts. As such, fuzzy logic has been used to further model the Ayurvedic sub-domain. The result of the modelling of Ayurvedic domain using fuzzy logic has been compatible with the experiences of the Ayurvedic experts. It has shown 77% accuracy in using the tacit knowledge for reasoning in the relevant domain. The development has been done using Visual basic, FLEX expert system shell and the system runs on Windows platform. The Intelligent Hybrid system has been successfully applied for several tacit domains. Performances were very close to handling tacit knowledge by the human expert in tacit domain