Rule-Based Fuzzy Logic System for Determining the Strategy of Knowledge Management through Prioritizing KM Processes

Knowledge is recognized as one of the most important, vital and strategic organizational resources that it's creation, sharing and efficient use increases innovation, reduces costs, improves decision making and creates a sustainable competitive advantage for organizations. Knowledge management (KM) refers to all efforts to the access and use of knowledge resources as much as possible. Successful implementation of knowledge management depends on determining the appropriate KM implementation strategy. The aim of this paper is to design a rule-based fuzzy logic system for determining the appropriate strategy for implementing KM through prioritizing the knowledge management processes (KMP). In this research, two type-1 rule-based fuzzy systems are designed to model the relationships between dependency factors and knowledge management processes as well as to model the alignment framework of knowledge management processes and strategies. Comparison of the obtained results with the results of previous researches shows that the method proposed in this article, in addition to a more detailed evaluation of the dependency factors and more accurate prioritization of knowledge management processes, can also determine the appropriate strategy for implementing knowledge management in the organization.