A Fuzzy Inference System Approach for Knowledge Management Tools Evaluation

Knowledge management has become a very important role in enterprises business process. Regarding to the effective and efficiency of knowledge management system (KMS) implementation, information technology (IT) or tools to support KMS can be a successful factor. One of the challenges that will be faced by enterprises in KMS implementation is the evaluation and selection an appropriate knowledge management tools (KMT). KMT evaluation is decision making process that consists with the multiple-criteria. The prior methods have been developed based on multiple-criteria. However, these methods are still lack capable to deal with the human judgment, uncertainty and different purchasing policy in every enterprise. This paper proposed fuzzy inference system (FIS) approach to solve the problem in evaluating knowledge management tools. Our aim is to produce useful decision model such as capable to be applied in many different environments of enterprise, reduce time-consuming calculations and be able to handle multiple conflicting criteria. We believe that the system shown can deal with the problem faced by enterprise in knowledge management tools evaluation before implementing the KMS.