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Special issue on Hybrid Fuzzy Models
Author(s) -
José M. Benítez,
Salvador García,
Santi Caballé,
Ángel A. Juan
Publication year - 2010
Publication title -
international journal of hybrid intelligent systems
Language(s) - English
Resource type - Journals
eISSN - 1875-8819
pISSN - 1448-5869
DOI - 10.3233/his-2010-0100
Subject(s) - computer science , fuzzy logic , artificial intelligence , data science , machine learning
This special issue is composed of five papers addressing different topics in current developments of Hybrid Fuzzy Models. The issue originated from presentations at the 8th International Conference on Hybrid Intelligent Systems that was held in Barcelona, Spain, September 10–12th, 2008. Selected contributions were extended and went through a blind-fold peer review process. In this special issue several topics on the hybridization of fuzzy systems with other techniques are covered. Most of the papers have classification problems as their target application, but regression is also considered. The first paper, “Comparison of Data Driven Models for the Validation of Residentials Premises using the KEEL Tool”, develops a thorough empirical study of the performance of twelve different models applied to problem of computing the market value of a property. This is a very important problem due to the scope of people that it affects. The paper employs KEEL as an experimentation tools and highlights the good features the system offers for this purpose. The second article, “A Bibliometric Study about the Research based on Hybridating the Fuzzy Logic Field and the Other Computational Intelligent Techniques: A Visual Approach”, is quite helpful for the researchers in the area. It draws clear conclusions about the leading topics in the hybridization of Fuzzy Logic with other techniques included within Soft Computing. In partic-

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