Showing papers by "Jesús Alcalá-Fdez published in 2016"
TL;DR: An overview of freely available and open-source fuzzy systems software is presented in order to provide a well-established framework that helps researchers to find existing proposals easily and to develop well-founded future work.
Abstract: Fuzzy systems have been used widely thanks to their ability to successfully solve a wide range of problems in different application fields. However, their replication and application require a high level of knowledge and experience. Furthermore, few researchers publish the software and/or source code associated with their proposals, which is a major obstacle to scientific progress in other disciplines and in industry. In recent years, most fuzzy system software has been developed in order to facilitate the use of fuzzy systems. Some software is commercially distributed, but most software is available as free and open-source software, reducing such obstacles and providing many advantages: quicker detection of errors, innovative applications, faster adoption of fuzzy systems, etc. In this paper, we present an overview of freely available and open-source fuzzy systems software in order to provide a well-established framework that helps researchers to find existing proposals easily and to develop well-founded future work. To accomplish this, we propose a two-level taxonomy, and we describe the main contributions related to each field. Moreover, we provide a snapshot of the status of the publications in this field according to the ISI Web of Knowledge. Finally, some considerations regarding recent trends and potential research directions are presented.
95 citations
TL;DR: NICGAR is presented, a new Niching Genetic Algorithm to obtain a reduce set of different positive and negative quantitative association rules with a low runtime to extract the rules based on the existence of a pool of external solutions that contains the best rule of each niche found in the search process.
77 citations
TL;DR: The articles in this special section focus on computational intelligence software with special attention to open source software due to the fact that open source sharing plays a very important role, offering many advantages that will lead to quicker detection of errors, more innovative applications, faster adoption of CI techniques in other disciplines and in industry.
Abstract: The articles in this special section focus on computational intelligence software with special attention to open source software due to the fact that open source sharing plays a very important role, offering many advantages, that will lead to quicker detection of errors, more innovative applications, faster adoption of CI techniques in other disciplines and in industry.
2 citations
24 Jul 2016
TL;DR: Four new KEEL modules to analyze and export fuzzy association rules and a module to export obtained rules to the standard PMML in order to be able to take advantages of other software are introduced.
Abstract: The KEEL software provides several methods to mine fuzzy association rules, however, few modules are available to study them. In this paper we introduce four new KEEL modules to analyze and export fuzzy association rules. Firstly, we present a module to calculate various interest measures for existing sets of fuzzy association rules in order to analyze rules on the basis of their potential interest to the user. Then, two visualization modules are proposed to generate different kinds of graphs from interest measures, making easier the analysis of the rules. Finally, we present a module to export obtained rules to the standard PMML in order to be able to take advantages of other software. The utility of these new modules is illustrated in a case study.
1 citations