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 …

During the last decade, research on Genetic-Based Machine Learning has resulted in
several proposals of supervised learning methodologies that use evolutionary algorithms to …

We view Multicriteria Decision Making (MCDM) as the conjunction of three components:
search, preference tradeoffs, and interactive visualization. The first MCDM component is the …

Genetic fuzzy systems (GFS) are based on the use of genetic algorithms for designing fuzzy
systems, and for providing them with learning and adaptation capabilities. In this context …

This paper presents a new approach based upon qualitative reasoning techniques for
representing and synthesising the information given by a group of evaluators. A …

Many methods have been proposed to mine fuzzy association rules from databases with
crisp values in order to help decision-makers make good decisions and tackle new types of …

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

This paper addresses the selection of sub-feature from each feature using fuzzy
methodologies maintaining the privacy during collection of data from participating parties in …

Algorithms for preprocessing databases with incomplete and imprecise data are seldom
studied. For the most part, we lack numerical tools to quantify the mutual information …

The feature selection addresses the issue of developing accurate models for classification in
data mining. The aggregated data collection from distributed environment for feature …