Web-based learning evaluation fuzzy expert system
Second international workshop on Intelligent systems design and application
A fuzzy web intelligence application: web-based fuzzy expert agents for online learning evaluation
Neural, Parallel & Scientific Computations - Special issue: Advances in intelligent systems and applications
An intelligent learning diagnosis system for Web-based thematic learning platform
Computers & Education
Fuzzy expert system for solving lost circulation problem
Applied Soft Computing
Process mining applied to the test process of wafer scanners in ASML
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
Computers and Industrial Engineering
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Little work has previously been reported on the use of fuzzy logic within statistical process control when this is used for fault detection as part of quality control systems in industrial manufacturing processes. Therefore, the paper investigates the potential use of fuzzy logic to enhance the performance of statistical process control (SPC). The cumulative sum of the deviation in the monitored parameter is combined with the deviation in an attempt to discriminate between false alarms and real faults and, consequently, to improve the quality of the solution. Combinations of control rules are utilized and trained to cope with different inputs such that rejection of false alarms is achieved and quick detection of real faults is obtained. The design and implementation of this fuzzy expert system (FES) are presented, and a comparative rule based study is performed