Granular computing: perspectives and challenges
Granular computing, as a new and rapidly growing paradigm of information processing, has
attracted many researchers and practitioners. Granular computing is an umbrella term to …
attracted many researchers and practitioners. Granular computing is an umbrella term to …
[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 …
[图书][B] Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases
O Cord - 2001 - books.google.com
In recent years, a great number of publications have explored the use of genetic algorithms
as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this …
as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this …
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
A method is proposed to automatically learn the knowledge base by finding an appropiate
data base by means of a genetic algorithm while using a simple generation method to derive …
data base by means of a genetic algorithm while using a simple generation method to derive …
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction
Tuning fuzzy rule-based systems for linguistic fuzzy modeling is an interesting and widely
developed task. It involves adjusting some of the components of the knowledge base without …
developed task. It involves adjusting some of the components of the knowledge base without …
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 …
[图书][B] Fuzzy control
N Siddique, N Siddique - 2014 - Springer
PD-like and PI-like fuzzy logic controllers (FLC) have the same characteristics as the
traditional PD and PI-type controllers. That is, PD-like FLC exhibits smaller overshoot, fast …
traditional PD and PI-type controllers. That is, PD-like FLC exhibits smaller overshoot, fast …
A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems
This work proposes the application of Multi-Objective Genetic Algorithms to obtain Fuzzy
Rule-Based Systems with a better trade-off between interpretability and accuracy in …
Rule-Based Systems with a better trade-off between interpretability and accuracy in …
Fuzzy transfer learning: methodology and application
J Shell, S Coupland - Information Sciences, 2015 - Elsevier
Producing a methodology that is able to predict output using a model is a well studied area
in Computational Intelligence (CI). However, a number of real-world applications require a …
in Computational Intelligence (CI). However, a number of real-world applications require a …
Sum normal optimization of fuzzy membership functions
D Simon - International Journal of Uncertainty, Fuzziness and …, 2002 - World Scientific
Given a fuzzy logic system, how can we determine the membership functions that will result
in the best performance? If we constrain the membership functions to a certain shape (eg …
in the best performance? If we constrain the membership functions to a certain shape (eg …