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» On fuzzy inference by the least squares method
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EUSFLAT
2001
105views Fuzzy Logic» more  EUSFLAT 2001»
13 years 6 months ago
On fuzzy inference by the least squares method
A very different suggestion to the Zadeh's rule for fuzzy inference is the least squares method proposed by T. D. Pham and Valliappan. The aim of this paper is to study the p...
Sergio Bellido, Elena Castiñeira, Susana Cu...
CORR
2008
Springer
216views Education» more  CORR 2008»
13 years 4 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...
FUZZIEEE
2007
IEEE
13 years 6 months ago
Transformation of a Mamdani FIS to First Order Sugeno FIS
— In many decision support applications it is important to guarantee the expressive power, easy formalization and interpretability of Mamdani-type fuzzy inference systems (FIS), ...
Javad Jassbi, S. H. Alavi, Paulo J. A. Serra, Rita...
ITIIS
2010
138views more  ITIIS 2010»
12 years 11 months ago
Identification of Fuzzy Inference System Based on Information Granulation
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
13 years 10 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...