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This paper develops an evaluation approach based on the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), to help the Air Force Academy in Taiwan choose optimal initial training aircraft in a fuzzy environment where the vagueness and sub-jectivity are handled with linguistic terms parameterised by triangular fuzzy numbers. This study(More)
This paper presents an analytic hierarchy prediction model based on the consistent fuzzy preference relations to help the organizations become aware of the essential factors affecting the success of Knowledge Management (KM) implementation, forecasting the possibility of successful KM project, as well as identifying the actions necessary before initiating(More)
Keywords: Consistent fuzzy preference relations (CFPR) Analytic hierarchy process (AHP) Advanced manufacturing technology (AMT) Pairwise comparison a b s t r a c t A preliminary study on the potential use of the analytical hierarchical process (AHP) to predict advanced manufacturing technology (AMT) implementation. Robotics and Computer Integrated(More)
Keywords: Knowledge management Fuzzy sets theory Multi-criteria decision making Prediction Linguistic variables Triangular fuzzy numbers a b s t r a c t This study develops a forecasting framework based on the fuzzy multi-criteria decision making (FMCDM) approach to help organizations build awareness of the critical influential factors on the success of(More)
The implementation of knowledge management (KM) involves innovation and reformation for organizations. KM implementation requires not only a substantial investment, but also changes the organization culture and structure. Before embarking on KM, thorough planning is crucial to ensure the implementation achieves the intended objectives of accruing profit and(More)
This paper develops a multi-criteria evaluation approach based on the preference relation to help the National Communication Commission (NCC) in Taiwan award a WiMAX license under fuzzy environment, where the vagueness and subjectivity are handled with linguistic variables parameterized by triangular fuzzy numbers. This study applies the fuzzy(More)