A NEW MODEL FOR EVALUATING KNOWLEDGE MANAGEMENT TOOLS

摘要：

In order to implement a knowledge management (KM) project successfully in a company, it is vital to select a suitable KM tool. This paper presents an application of fuzzy and grey theory used to select the most appropriate tool to support KM. By using group-discussing and anonymous questionnaire methods, index set for selecting the most suitable KM tool is put forward. A new algorithm, which is integrated of modified Delphi, analytic hierarchy process, fuzzy comprehensive evaluation and grey relational analysis, is designed to convert the qualitative description to quantitative data. Finally, a numerical example is given to demonstrate the application of the proposed method. We believe that the application shown can be of use to managers and others can benefit from this approach because of its ease of implementation.

关键词： Knowledge management tool Decision analysis Fuzzy Grey

作者: YU-RONG ZENG LIN WANG JIN-LONG ZHANG YONG-SHENG DONG

作者单位: School of Computer, Hubei University of Economics, Wuhan, 430205, China School of management, Huazhong University of Science & Technology, wuhan, 430074, China DaYa Bay Nuclear Power Operations & Management Co., Ltd, Shenzhen, 518124, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 640-644

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）