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Recent Advances in Interval Type-2 Fuzzy Systems
This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hy-brid intelligent systems have been built using the advantages that each techni...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2012
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-28956-9 http://cds.cern.ch/record/1501828 |
_version_ | 1780927070684053504 |
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author | Castillo, Oscar Melin, Patricia |
author_facet | Castillo, Oscar Melin, Patricia |
author_sort | Castillo, Oscar |
collection | CERN |
description | This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hy-brid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We con-sider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors. |
id | cern-1501828 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2012 |
publisher | Springer |
record_format | invenio |
spelling | cern-15018282021-04-21T23:55:47Zdoi:10.1007/978-3-642-28956-9http://cds.cern.ch/record/1501828engCastillo, OscarMelin, PatriciaRecent Advances in Interval Type-2 Fuzzy SystemsEngineeringThis book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hy-brid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We con-sider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors.Springeroai:cds.cern.ch:15018282012 |
spellingShingle | Engineering Castillo, Oscar Melin, Patricia Recent Advances in Interval Type-2 Fuzzy Systems |
title | Recent Advances in Interval Type-2 Fuzzy Systems |
title_full | Recent Advances in Interval Type-2 Fuzzy Systems |
title_fullStr | Recent Advances in Interval Type-2 Fuzzy Systems |
title_full_unstemmed | Recent Advances in Interval Type-2 Fuzzy Systems |
title_short | Recent Advances in Interval Type-2 Fuzzy Systems |
title_sort | recent advances in interval type-2 fuzzy systems |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-642-28956-9 http://cds.cern.ch/record/1501828 |
work_keys_str_mv | AT castillooscar recentadvancesinintervaltype2fuzzysystems AT melinpatricia recentadvancesinintervaltype2fuzzysystems |