Designing and Implementing Fuzzy Expert Systems to Suggest Knowledge Management Technology Compatible with the Strategy Type

Khadivar, Ameneh; Mojibian, Fatemeh

doi:10.47176/smok.2018.1129

Designing and Implementing Fuzzy Expert Systems to Suggest Knowledge Management Technology Compatible with the Strategy Type

Document Type : Original Research Paper

Authors

Ameneh Khadivar ¹

Fatemeh Mojibian ²

¹ Associate Professor, IT Management, Faculty of Social science and Economics, University of Alzahra, Tehran, Iran.

² Assistant Professor, Management, Industrial Engineering and Management Faculty, Ghiaseddin Jamshid Kashani University, Ghazvin, Iran.

10.47176/smok.2018.1129

Abstract

As the time and space for accessing the experts are limited, expert systems are created for making the skills of experts available for solving these constraints. Aimed at improving and promoting organizational performance, knowledge management is now regarded as a quite essential practice. Given this, the present study is aimed at introducing the fuzzy expert system to suggest the most proper instruments for knowledge management. To acquire the relevant knowledge, ten top experts in the field of knowledge management were consulted. The proposed system contains a knowledge basis for Fuzzy rules, inference engine based on Fuzzy logic, field interference, and graphical user inference designed in MATLAB software. The inputs of the system include organizational structure, organization strategy, human resource management strategy, the level of IT maturity, organization size and environmental uncertainty. The outputs contain knowledge management tools, which are recommended for users on the basis of the selection process type. Arash Holding Company containing 500 employees was analyzed for testing the performance of designed expert system. The results were presented separately according to the knowledge management processes. The users of the designed system may cover university students, organizations, researchers willing to develop such systems, or individuals who intend to use the available knowledge in the system.

Keywords

expert systems

knowledge management tools

Fuzzy Logic

Mamdani Inference

user interface

20.1001.1.26454262.1397.1.2.1.9

Abraham, A., (2005), “Rule-Based Expert Systems”, Handbook of Measuring System Design.
Alharithy, M., Knowledge Management Process in several organizations:
Analytical Study of modeling and several processes, International Conference on Communication, Management and Information Technology, Volume 65, pp. 726-733.
Boondao, R. 2013. Factors affecting knowledge management of
organizations in Thailand, International Journal of Conceptions
on Management and Social Sciences, 1(1): 22-24.
Bouthillier, F., & Shearer, K. (2004). Understanding knowledge management and information management: the need for an empirical perspective. Information Research, 8(1).
Büyüközkan, G., Feyzioglu, O., Cifci, G., (2011), Fuzzy Multi-Criteria Evaluation of Knowledge Management Tools, International Journal of Computational Intelligence Systems, Volume 4, Issue2, pp. 184-195.
Centobelli, P., Cerchione, R., Esposito, E., (2018), Aligning enterprise knowledge and knowledge management systems to improve efficiency and effectiveness performance: A three-dimensional Fuzzy-based decision support system, Expert Systems with Applications, Volume 91, pp. 107-126.
Gupta, A. & McDaniel, J. (2002). Creating competitive advantage by effectively managing knowledge: a framework for knowledge management. Journal of Knowledge Management Practice.
Hamundu, F.M., Budiarto , R., Siregar, L., (2009), Evalating the best of Knowledge Management for Small Medium Enterprice Based on Fuzzy Analytic Hierarchy Process, third Asia International Conference on Modeling and Simulation.
Hlupic, V., Pouloudi, A. and Rzevski, G. (2002) "Towards an integrated approach to knowledge management: 'hard', 'soft', and 'abstract' issues." Knowledge and Process Management, 9(2), 90-102.
Jasimuddin, S., (2012), “Special Issue on Knowledge Management (KM)”, Information Resources Management Journal, Volume 29, Issue 1.
Laudon, K., and Laudon, J. Management Information Systems-Organization and Technology
in the Networked Enterprise. Englewood Cliffs, N.J.: Prentice Hall, 2001.
Mc Elory, M., (2003), “The new knowledge management, Complexity, Learning and Sustainable Innovation”, Knowledge Management Consortium International Press: USA.
Mertins, K., P. Heising, and J. Vorbeck. (2001). Knowledge management.
Berlin: Springer.
Newman B & Conrad K. 2000. A Framework for Characterizing Knowledge Management Methods, Practices, and Technologies, Proc. of the Third Int. Conf. on Practical Aspects of Knowledge Management (PAKM2000).
Ngai, E.W.T., Chan, E.W.C., (2005), Evaluation of knowledge management tools using AHP, Expert Systems with Applications, Volume 29, Issue 4, pp. 889-899.
Nonaka, I., and H. Takeuchi. 1995. The knowledge-creating company: How Japanese companies create the dynamics of innovation. New York : Oxford University Press.
Oluic-Vukovic, V. (2001) "From information to knowledge: some reflections on the origin of the current shifting towards knowledge processing and further perspective." Journal of the American Society for Information Science and Technology, 52, 54-61.
Ruggles, R.L., ed. (1997). Knowledge management tools. London: Butterworth-Heinemann.