A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences—Intelligent Systems: An International Journal
Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
A probabilistic method for calculating hit ratios in direct mapped caches
Journal of Network and Computer Applications
A rational consensus model in group decision making using linguistic assessments
Fuzzy Sets and Systems
Intellectual capital: the new wealth of organizations
Intellectual capital: the new wealth of organizations
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Transitivity of fuzzy preference relations—an empirical study
Fuzzy Sets and Systems
Decision Support Systems - Knowledge management support of decision making
The Wealth of Knowledge: Intellectual Capital and the Twenty-first Century Organization
The Wealth of Knowledge: Intellectual Capital and the Twenty-first Century Organization
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 1 - Volume 1
A Performance Environment Perspective of Knowledge Management
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 4 - Volume 4
A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
General transitivity conditions for fuzzy reciprocal preference matrices
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
KMPI: measuring knowledge management performance
Information and Management
Incomplete linguistic preference relations and their fusion
Information Fusion
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Establishing a knowledge management programme for competitive advantage in an enterprise
International Journal of Information Management: The Journal for Information Professionals
Expert Systems with Applications: An International Journal
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP
Information Sciences: an International Journal
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Expert Systems with Applications: An International Journal
Incomplete linguistic preference relations to evaluate multimedia authoring system
WSEAS Transactions on Mathematics
Expert Systems with Applications: An International Journal
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
Some issues on properties of the extended IOWA operators in fuzzy group decision making
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Solving multi-criteria decision making with incomplete linguistic preference relations
Expert Systems with Applications: An International Journal
Methods for fuzzy complementary preference relations based on multiplicative consistency
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Evaluating the managerial behavior of managing knowledge in Chinese SMEs
Information Technology and Management
Computers and Industrial Engineering
Hi-index | 12.07 |
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 KM. Pairwise comparisons are utilized to obtain the priority weights of influential factors and the ratings of two possible outcome (success and failure). The subjectivity and vagueness within the prediction process are dealt with using linguistic variables quantified in an interval scale [0,1]. By multiplying the weights of influential factors and the ratings of possible outcome, predicted success/failure values are determined to enable organizations to decide whether to initiate knowledge management, inhibit adoption or take remedial actions to enhance the possibility of successful KM project. This proposed approach is demonstrated with a real case study involving seven major influential factors assessed by eleven evaluators solicited from a semiconductor engineering incorporation located in Taiwan.