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RISA New Approach For TSK-type Fuzzy Model Design
In this paper a new fuzzy modeling approach is proposed, which is devoted to discover knowledge from data and represent it in the form of fuzzy rules. In this approach, the structure identification and parameter optimization are carried out...
A systematic approach to fuzzy modeling for rule generation from numerical data
-propagation learning. Finally, the proposed fuzzy methodology is implemented in supply chain of an automotive plant. The results show the superiority of the model in comparison with the Sugeno and Yasukawa's fuzzy modeling in terms of error reduction....
A New Fuzzy Inference Method for Systems with Large Number of Rules
In this paper, a new fuzzy inference method which is suitable for systems with large
number of rules, is proposed. As we know, there are two well-known fuzzy inference
systems, Mamdani and TSK. Each one has ...
Nero-fuzzy modeling of the convection heat transfer coefficient for the nanofluid
In this study, experiments were performed by
six different volume fractions of Al2O3 nanoparticles in
distilled water. Then, actual nanofluid Nusslet number
compared by Adaptive neuro fuzzy inference ...
Non linear modeling using fuzzy principal component regression for Vidyaranyapuram sewage treatment plant, Mysore India
Nonlinear internal model control based on fuzzy rough granular Neural Networks
Optimal reservoir operation for irrigation of multiple crops using fuzzy logic
months period, both trends had risen from October to May but since then they had fallen gradually. In general the amount of annual released water in Fuzzy model is almost less than NLP, especially in competitive months, May and June. The percentage...