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» Advanced Inference in Fuzzy Systems by Rule Base Compression
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EUSFLAT
2007
129views Fuzzy Logic» more  EUSFLAT 2007»
13 years 6 months ago
Advanced Inference in Fuzzy Systems by Rule Base Compression
This paper describes a method for formal compression of fuzzy systems. This method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system ...
Alexander Gegov, Neelamugilan Gobalakrishnan
FSS
2006
154views more  FSS 2006»
13 years 4 months ago
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction
In this paper, a Sequential Adaptive Fuzzy Inference System called SAFIS is developed based on the functional equivalence between a radial basis function network and a fuzzy infer...
Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P....
FLAIRS
2004
13 years 6 months ago
Strategies For Fuzzy Inference within Classifier Systems
When designing any type of fuzzy rule based system, considerable effort is placed in identifying the correct number of fuzzy sets and the fine tuning of the corresponding membersh...
Keeley A. Crockett, Zuhair Bandar, David McLean
IJAR
2008
95views more  IJAR 2008»
13 years 4 months ago
Rule reduction for efficient inferencing in similarity based reasoning
The two most important models of inferencing in approximate reasoning with fuzzy sets are Zadeh's Compositional Rule of Inference (CRI) and Similarity Based Reasoning (SBR). ...
Balasubramaniam Jayaram
CIARP
2007
Springer
13 years 11 months ago
Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems
Abstract. Fuzzy based models have been used in many areas of research. One issue with these models is that rule bases have the potential for indiscriminant growth. Inference system...
Tomás Arredondo Vidal, Félix V&aacut...