The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …

Over the past few decades, fuzzy systems have been widely used in several application
fields, thanks to their ability to model complex systems. The design of fuzzy systems has …

The potential and effectiveness of the newly developed Pareto-based multiobjective
evolutionary algorithms (MOEA) for solving a real-world power system multiobjective …

The use of genetic algorithms for designing fuzzy systems provides them with the learning
and adaptation capabilities and is called genetic fuzzy systems (GFSs). This topic has …

This paper considers the automatic design of fuzzy-rule-based classification systems from
labeled data. The performance of classifiers and the interpretability of generated rules are of …

In this paper, a multiobjective genetic fuzzy system (GFS) to learn the granularities of fuzzy
partitions, tuning the membership functions (MFs), and learning the fuzzy rules is presented …

Fuzzy Systems have shown their utility for solving a wide range of problems in different
application domains. The use of Genetic Algorithms for designing Fuzzy Systems allows us …

This paper presents a hybrid method for identification of Pareto-optimal fuzzy classifiers
(FCs). In contrast to many existing methods, the initial population for multiobjective …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

In this study, we propose a new variable coded hierarchical fuzzy model (VCHFM) for
handling classification problems. The proposed hierarchical framework classification model …