Evaluating the Best of Knowledge Management Technology for Small Medium Enterprise Based on Fuzzy Analytic Hierarchy Process

Nowadays, interest in Knowledge Management (KM) from both industry and academia has been growing rapidly. There is no doubt that KM has came to play an important role in organizations. However, if organizations especially small medium enterprise (SMEs) do not fully comprehend what drives the need for KM and how to select the necessary technological infrastructure, they may fall into the trap of creating an inefficient KM strategy and will face the investment risks like loss money. This paper presents an application of the extent analysis using Analytic Hierarchy Process (AHP) as a model to select Knowledge Management Technology (KMT) under fuzzy environment. In addition, the model considers the positive-negative aspects of selecting through incorporate Benefit, Costs and Risks (BCR) concept.