Designing a fuzzy expert system for selecting knowledge management strategy

knowledge management strategy is mentioned as one of the most important success factors for implementing knowledge management. The KM strategy selection is a complex decision that requires consideration of several factors. For evaluation and selection of an appropriate knowledge management strategy in organizations، many factors must be considered. The identified factors and their impact on knowledge management strategy are inherently ambiguous. In this study، an overview of theoretical foundations of research regarding the different knowledge management strategies has been done And factors influencing the knowledge management strategy selection have been extracted from conceptual frameworks and models. How these factors influence the knowledge management strategy selection is extracted through the fuzzy Delphi. Next a fuzzy expert system for the selection of appropriate knowledge management strategy is designed with respect to factors that have an impact on knowledge management strategy. The factors which influence the selection of knowledge management strategy include: general business strategy، organizational structure، cultural factors، IT strategy، strategic human resource management، social level، the types of knowledge creation processes and release it. The factors which influence the knowledge management strategy selection include: business strategy general، organizational structure، cultural factors، IT strategy، human resource management strategies، socialization level، knowledge types and its creation and diffusion processes. According to identified factors which affect the knowledge management strategy، the final strategy is recommended based on the range of human-oriented and system-oriented by keep the balance of explicit and implicit knowledge. The Designed system performance is tested and evaluated by the information related to three Iranian organization.