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» On the design of metaheuristic algorithms using fuzzy rules
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FSS
2006
154views more  FSS 2006»
13 years 7 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....
ICONIP
2009
13 years 5 months ago
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
Decision Tree Induction (DTI), one of the Data Mining classification methods, is used in this research for predictive problem solving in analyzing patient medical track records. In...
Rolly Intan, Oviliani Yenty Yuliana
ICANN
2003
Springer
14 years 28 days ago
Knowledge Refinement Using Fuzzy Compositional Neural Networks
Fuzzy relations as representational tools and fuzzy compositional operators as reasoning components, are user in this paper in order to represent knowledge expressed in semantic ru...
Vassilis Tzouvaras, Giorgos B. Stamou, Stefanos D....
EUSFLAT
2003
116views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Fuzzy logic and the Pittsburgh classifier system for mobile robot control
We report on experiments designed to highlight the strengths and weaknesses of an autonomous rule acquisition algorithm for the fuzzy controller of a simulated mobile robot. The a...
Anthony G. Pipe, Brian Carse
EUSFLAT
2009
135views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
A Logic-Based Approach for Evaluating Interpretability of Fuzzy Rule-Based Classifiers
Abstract-- We describe an automatic approach for evaluating interpretability of fuzzy rule-based classifiers. The approach is based on the logical view of fuzzy rules, which are in...
Corrado Mencar, Ciro Castiello, Anna Maria Fanelli