Computational intelligence and feature selection: rough and fuzzy approaches
The rough and fuzzy set approaches presented here open up many new frontiers for
continued research and development Computational Intelligence and Feature Selection …
continued research and development Computational Intelligence and Feature Selection …
[图书][B] Accuracy improvements to find the balance interpretability-accuracy in linguistic fuzzy modeling: an overview
Abstract System modeling with fuzzy rule-based systems (FRBSs), ie fuzzy modeling (FM),
usually comes with two contradictory requirements in the obtained model: the interpretability …
usually comes with two contradictory requirements in the obtained model: the interpretability …
Three-objective genetics-based machine learning for linguistic rule extraction
This paper shows how a small number of linguistically interpretable fuzzy rules can be
extracted from numerical data for high-dimensional pattern classification problems. One …
extracted from numerical data for high-dimensional pattern classification problems. One …
The discovery of experts' decision rules from qualitative bankruptcy data using genetic algorithms
MJ Kim, I Han - Expert Systems with Applications, 2003 - Elsevier
Numerous studies on bankruptcy prediction have widely applied data mining techniques to
finding out the useful knowledge automatically from financial databases, while few studies …
finding out the useful knowledge automatically from financial databases, while few studies …
[图书][B] Classification and learning using genetic algorithms: applications in bioinformatics and web intelligence
S Bandyopadhyay, SK Pal - 2007 - books.google.com
This book provides a unified framework that describes how genetic learning can be used to
design pattern recognition and learning systems. It examines how a search technique, the …
design pattern recognition and learning systems. It examines how a search technique, the …
A critical review on the control strategies applied to PCM-enhanced buildings
G Gholamibozanjani, M Farid - Energies, 2021 - mdpi.com
The incorporation of phase change materials (PCM) in buildings has the potential to
enhance the thermal efficiency of buildings, reduce energy cost, shift peak load, and …
enhance the thermal efficiency of buildings, reduce energy cost, shift peak load, and …
Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview
Abstract System modeling with fuzzy rule-based systems (FRBSs), ie fuzzy modeling (FM),
usually comes with two contradictory requirements in the obtained model: the interpretability …
usually comes with two contradictory requirements in the obtained model: the interpretability …
Combining GP operators with SA search to evolve fuzzy rule based classifiers
The genotype–phenotype encoding of fuzzy rule bases in GA, along with their
corresponding crossover and mutation operators, can be used by other search schemes …
corresponding crossover and mutation operators, can be used by other search schemes …
Integrating fuzzy knowledge by genetic algorithms
CH Wang, TP Hong, SS Tseng - IEEE Transactions on …, 1998 - ieeexplore.ieee.org
We propose a genetic algorithm-based fuzzy knowledge integration framework that can
simultaneously integrate multiple fuzzy rule sets and their membership function sets. The …
simultaneously integrate multiple fuzzy rule sets and their membership function sets. The …
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
The inductive learning of a fuzzy rule-based classification system (FRBCS) is made difficult
by the presence of a large number of features that increases the dimensionality of the …
by the presence of a large number of features that increases the dimensionality of the …