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A Group Based Fuzzy MCDM for Selecting Knowledge Portal System

Authors: Amir Sanayei, Seyed Farid Mousavi, Catherine Asadi Shahmirzadi


Despite of many scholars and practitioners recognize the knowledge management implementation in an organizations but insufficient attention has been paid by researchers to select suitable knowledge portal system (KPS) selection. This study develops a Multi Criteria Decision making model based on the fuzzy VIKOR approach to help organizations in selecting KPS. The suitable portal is the critical influential factors on the success of knowledge management (KM) implementation in an organization.

Keywords: Knowledge Management, Fuzzy VIKOR, Knowledge portal system

Digital Object Identifier (DOI):

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[1] Chang,T.H., Wang, T.H.,(2009). Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management. Information Sciences, 179,355-370.
[2] Hsieh,P.J.,Lin,B.,Lin,CH.,(2009). The construction and application of knowledge navigator model (KNMTM): An evaluation of knowledge management maturity. Expert Systems with Applications, 36, 4087- 4100.
[3] Lee, K.C., Lee, S., Kang, I.W., (2005). KPMI: measuring knowledge management performance. Information and Management 42, 469-482.
[4] Zack, M. (1999) Managing codified knowledge. Sloan Management Review, 40 (4), 45-58.
[5] Nonaka I., (1994). A dynamic theory of organization knowledge creation. Organization Scinces 5 (1), pp.14-37.
[6] Marwick, A., D, (2001). Knowledge management technology. IBM System Journal 40 (4), 814-830.
[7] Kim, Y.G., Yu S.H., Lee J.H., (2003).Knowledge strategy planning: methodology and case. Expert System with Applications (24), 295-307.
[8] Earl, M., (2001).Knowledge management strategies: toward a taxonomy. Journal of Management Information systems 18(1), 215-233.
[9] Choi, B., Poon, S., K., Davis, J., G., (2007).Effects of knowledge management strategy on organizational performance: A complementarily theory-based approach. Omega 36,235-251.
[10] White, M., 2000. Enterprise information portals. The Electronic Library 18 (5), 354-362.
[11] Kim, Y.J., Chaudhury, A., Raghav Rao, H., 2002. A knowledge management perspective to evaluation of enterprise information portals. Knowledge and Process Management 9 (2), 57-71.
[12] Hwang, C.L., Yoon, N., (1981). Multiple Attributes Decision Making Methods And Application, Springer-Verlag, Berlin
[13] Kreng, V. B., Wu, C., 2007. Evaluation of knowledge portal development tools using a fuzzy AHP approach: The case of Taiwanese stone industry. Europian Journal of Operational Research 176, 1795- 1810.
[14] Chang, D., 1996. Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, Volume 95, Issue 3, Pages 649-655
[15] Saremi, M., Mousavi,S. F., Sanayei, A., (2009). TQM consultant selection in SME's with TOPSIS under fuzzy environment. Expert Systems with Applications (36), 2742-2749
[16] Opricovic, S. (1998). Multi-criteria optimization of civil engineering systems. Belgrade: Faculty of Civil Engineering.
[17] Opricovic, S., & Tzeng, G.-H. (2002). Multicriteria Planning of Post- Earthquake Sustainable Reconstruction. Computer-Aided Civil and Infrastructure Engineering, 17 (3), 211-220.
[18] Chu, M.-T., Shyu, J., Tzeng, G.-H., & Khosla, R. (2007). Comparison among three analytical methods for knowledge communities groupdecision analysis. Expert Systems with Applications, 33 (4), 1011-1024.
[19] Opricovic, S., & Tzeng, G.-H. (2004). Compromise solution by MCDM methods:A comparative analysis of VIKOR and TOPSIS.
[20] Opricovic, S., & Tzeng, G.-H. (2007). Extended VIKOR method in comparison with outranking methods.
[21] Yu, P. (1973). A class of solutions for group decision problems. Management Science, 19 (8), 936-946.
[22] Zadeh, L. A. (1965). Fuzzy sets. Information Control , 8, 338-353.
[23] Bellman, RE., Zadeh, L.A., 1970. Decision-making in a fuzzy environment. Management Science 17 (4), 141-146.
[24] Tong, R., & Bonissone, P. (1980). A linguistic approach to decisionmaking with fuzzy sets. IEEE Transactions On Systems, Man, Cybernetics SMC, 10 (11), 716-723.
[25] Bevilacqua, M., Ciarapica, F., & Giacchetta, G. (2006). A fuzzy-QFD approach to supplier selection. Journal of Purchasing & Supply Management, 14-27.
[26] Carlsson, C., & Fuller, R. (1996). Fuzzy multiple criteria decisionmaking: Recent development. Fuzzy Sets and Systems , 78 (2), 139-153.
[27] Wang, T.-C., & Chang, T.-H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications , 33 (4), 870-880.
[28] de Boer, L., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management, 7, 75-89.
[29] Kaufmann, A., & Gupta, M. (1991). Introduction to Fuzzy Arithmetic: Theory and Applications. New York: Van Nostrand Reinhold.
[30] Dubois, D., & Prade, H. (1980). Fuzzy Sets and Systems: Theory and Applications. New York: Academic Press Inc.
[31] Zadeh, L. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8, 199-249(I) 301- 357(II).
[32] Chena, C.-T., Lin, C.-T., & Huangb, S.-F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. Int. J. Production Economics, 289-301.
[33] Hess, P., & siciliano, J. (1996). Management:responsibility for performance. New York: McGraw-Hill.