IJIMT 2012 Vol.3(5): 507-511 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2012.V3.286

Determining the Blend Knowledge Management Strategy by a Fuzzy Expert System

Sanaz Pourdarab, Hamid Eslami Nosratabadi, and Ahmad Nadali

Abstract— The growing importance of knowledge as a critical resource has encouraged managers to pay greater attention to the firms’ KM strategies. Choosing the proper KM strategies is important to make sure that the alignment of organizational Procedures and the KM-related Information Technology deployment produce effective creation, sharing and utilization of knowledge. The purpose of this research is determining the knowledge management strategy by an intelligent system. Here a Fuzzy Expert System has been designed with the consideration of some effective variables on the selection of knowledge management strategy as Input variables and two knowledge management strategies system-based and human-based as the outputs. Then, the rules of system have been extracted from the KM Experts and the system has been developed with the use of FIS tool of MATLAB software. Finally, the designed system can be determining the knowledge management strategy. The presented steps have been run in an Iranian Bank as the empirical study.

Index Terms— Knowledge management strategy, fuzzy expert system, blend strategy, human oriented strategy,system oriented strategy.

Sanaz Pourdarab is with the Department of Information Technology Management, Science and Research Branch, Islamic Azad University,Tehran, Iran (Email:Pourdarab.sanaz@yahoo.com).
Hamid Eslami Nosratabadi is with the Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran (Email is Hamideslami.na@gmail.com).
Ahmad Nadali is with the Department of Information Technology Management, Science and Research Branch, Islamic Azad University,Tehran, Iran (Email:Nadali.ahmad@gmail.com). 

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Cite: Sanaz Pourdarab, Hamid Eslami Nosratabadi, and Ahmad Nadali , "Determining the Blend Knowledge Management Strategy by a Fuzzy Expert System," International Journal of Innovation, Management and Technology vol. 3, no. 5, pp. 507-511 , 2012.

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