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.