Evidential support logic programming
Fuzzy Sets and Systems
Printed circuits handbook (3rd ed.)
Printed circuits handbook (3rd ed.)
Fuzzy System Design Principles
Fuzzy System Design Principles
Data Warehousing, Data Mining, and Olap
Data Warehousing, Data Mining, and Olap
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
Cubegrades: Generalizing Association Rules
Data Mining and Knowledge Discovery
Self-learning fuzzy neural networks for control of uncertain systems with time delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A self-learning fuzzy logic controller using genetic algorithms with reinforcements
IEEE Transactions on Fuzzy Systems
| Hi-index | 0.00 |
To cope with the issue of ``brain drain'' intoday's competitive industrial environment, itis important to capture relevant experience andknowledge in order to sustain the continualgrowth of company business. In this respect,the study in the domain of knowledge learningis of paramount importance in terms ofcapturing and reuse of tacit and explicitknowledge. To support the process of knowledgelearning, a methodology to establish anintelligent system, which consists of bothOn-Line Analytical Processing (OLAP) and fuzzylogic principles, is suggested. This paperattempts to propose this approach forintegrating OLAP and fuzzy logic to form anintelligent system, capitalizing on the meritsand at the same time offsetting the drawbacksof the involved technologies. In this system,the values and positions of related fuzzy setsare modified to suit the industrialenvironment, supporting smoother operation withless error. To validate the feasibility of theproposed system, a case study related to themonitoring of chemical concentration of PCBelectroplating process is covered in thepaper.