DEVELOPMENT OF FUZZY EXPERT SYSTEMS FOR TACIT KNOWLEDGE MODELING IN STRATEGIC DECISION-MAKING

D.S.K. Mendis, A.S. Karunananda, U. Samaratunga

Abstract


Knowledge modelling gives the intention of knowledge engineering which is applicable for managing information systems. Tacit knowledge is the key issue of knowledge modelling aspect because all knowledge is rooted in tacit knowledge. In recognizing knowledge as a new resource in gaining organizational competitiveness, knowledge management suggests a method in managing and applying knowledge for improving organizational performance. Much knowledge management research has focused on identifying, storing, and disseminating process related knowledge in an organized manner. Applying knowledge to decision making has a significant impact on organizational performance than solely processing transactions for knowledge management. This paper presents a research that incorporates modelling of tacit knowledge for strategic decision-making. Here we have used fuzzy expert system for developing an approach for modelling tacit knowledge. We primarily used fuzzy logic together with statistical technique of principal component analysis as techniques 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. It has shown 77% accuracy in using the tacit knowledge for reasoning in the relevant domain.

 

Keywords: Fuzzy Expert System, Tacit Knowledge, Principal Component Analysis, and Strategic Decision-making, Ayurvedic Medicine

For full Paper: fmscresearch@sjp.ac.lk


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Faculty of Management Studies & Commerce