Modeling temporal functions with granular regression and fuzzy rules
Fuzzy Sets and Systems - Information processing
Computers in Industry - Special issue: Soft computing in industrial applications
Rule reduction for efficient inferencing in similarity based reasoning
International Journal of Approximate Reasoning
Optimisation criteria in development of fuzzy controllers with dynamics
Engineering Applications of Artificial Intelligence
Optimization of embedded fuzzy rule-based systems in wireless sensor network nodes
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
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The two most essential fuzzy rule-based models used in the literature and in the industrial applications are briefly described. The way of reasoning in these models is shown. Interpolative reasoning for the case of sparse rule bases is also discussed. Rule base compression by eliminating redundant rules whose information can be reconstructed within a set accuracy interval from the remaining rules by using the previous interpolation method is shown. A general fuzzy model is discussed that contains the previous fuzzy models (as well as the nonfuzzy one) as special cases. Ways of transforming the different approximative models into each other via the general model and interpolation are presented