Implementation of a Predictive Type 2 Fuzzy Rule Based Expert System Using C-means Clustering with Particle Swarm Optimization for Improving Performance in Boilers
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چکیده
A new iterative fuzzy clustering algorithm has been proposed that incorporates a supervisory schema into an unsupervised manner by using fuzzy c-means clustering and a cluster validity criterion. Meaningful fuzzy partitions can be gradually constructed over the input space.The proposed algorithm scores points as compared with the approach of lateral tuning as the need for implementing the 2-tuples representation can be eliminated. Chemical Recovery Boiler optimization in terms of achieving increased productivity had been taken up as a case study to demonstrate application of the newly proposed algorithm.
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تاریخ انتشار 2011