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.