A fuzzy logic approach to the evaluation of tacit knowledge management performance

被引:2
作者
Zhu X. [1 ]
Zhang Z. [2 ]
机构
[1] School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University
[2] Privalto UK Team, Equities and Derivatives, BNP Paribas, London NW1 6AA
关键词
Fuzzy logic; Knowledge management; Performance evaluation; Tacit knowledge;
D O I
10.1504/IJSOI.2010.031049
中图分类号
学科分类号
摘要
The performance of tacit knowledge management is a key of enhancing the service level of enterprises. Based on the characteristics of tacit knowledge management and the methodology of enterprise performance evaluation, a fuzzy evaluation system for the management performance of tacit knowledge is set up in this paper. Performance of tacit knowledge management is assessed qualitatively using linguistic 'if-then' rules and quantitatively on a 0 to 1 scale. A company is taken as an illustrative example. Comprehensive analyses and comparisons show that this new method is efficient and promising. Copyright © 2010 Inderscience Enterprises Ltd.
引用
收藏
页码:64 / 74
页数:10
相关论文
共 12 条
  • [1] Goldberg D.E., Genetic Algorithms in Search, Optimization and Machine Learning, (1989)
  • [2] Hu Y., He S., Comprehensive Evaluation Methods, (2000)
  • [3] Hwang H., Choi B., Lee K., Cho G., Supply center planning model using fuzzy-AHP and VRP, The 3rd International Conference on Innovative Computing Information, IEEE, 2008, pp. 109-113, (2008)
  • [4] Peng Z., Sun W., Fuzzy Math and its Application, (2002)
  • [5] Phillis A.Y., Kouikoglou V.S., Zhu X., A fuzzy logic approach to the evaluation of material recyclability, IEEE Int. Conference on Fuzzy Systems FUZZ-IEEE, pp. 454-458, (2005)
  • [6] Phillis A.Y., Kouikoglou V.S., Zhu X., Fuzzy assessment of material recyclability and its applications, Journal of Intelligent and Robotic Systems, 55, pp. 21-38, (2009)
  • [7] Wang X., Cao L., Genetic Algorithms - Theory, Application and Realization by Software, (2002)
  • [8] Xiao Q., Realization in C language of the selection operator of genetic algorithm, Compute and Digital Engineering, 33, pp. 140-141, (2005)
  • [9] Yang X., Et al., A multi objective decision-making ideal interval method for regeneration ability of water resource, Science in China, 1 SUPPL., pp. 34-35, (2004)
  • [10] Zhang R., Lan T., Introduction of Knowledge, (2005)