Evaluation and survey of knowledge management tools using fuzzy AHP and fuzzy TOPSIS techniques

Abstract

Knowledge management (KM) has recently played a critical role in management and economics. The experts have tried to develop and promote KM ideology in order to maintain competitive advantage and improve the organisational use of IT (Lin et al., 2007). This paper presents an application of the fuzzy analytic hierarchy process (FAHP) used to select the most appropriate tool to support KM. The model of this study is tested on a sample of 12 experts in automobile companies in Iran. In this study, KM tools (Knowledger, share point portal server, eRoom) are prioritised according to the KM tools variables with criteria (cost, functionality, and vendor) and cost, functionality, vendor sub-criteria using fuzzy AHP and fuzzy TOPSIS methods. The results indicate that within Iran automobile industry, Knowledger is more important than eRoom and share point portal server for automobile manufacture industry.