A Multi-level fuzzy logic scheme for modeling complex problems

In this paper, we propose to exte nd traditional Fuzzy Logic(FL) techniques by creating a second set of inference rules (and the corresponding inference mechanism) in order to effectively produce results exploitable by decision makers. We present a formal definition of a multi-level FL scheme and it...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Banda-Tapia, July Diana (author)
مؤلفون آخرون: Herrera, Regina Ticona (author), Barrios-Aranibar, Dennis (author), Tekli, Joe (author), Chbeir, Richard (author)
التنسيق: bookPart
منشور في: 2012
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10725/16800
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://www.researchgate.net/publication/269573129_A_MULTI-LEVEL_FUZZY_LOGIC_SCHEME_FOR_MODELING_COMPLEX_PROBLEMS
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author Banda-Tapia, July Diana
author2 Herrera, Regina Ticona
Barrios-Aranibar, Dennis
Tekli, Joe
Chbeir, Richard
author2_role author
author
author
author
author_facet Banda-Tapia, July Diana
Herrera, Regina Ticona
Barrios-Aranibar, Dennis
Tekli, Joe
Chbeir, Richard
author_role author
dc.contributor.none.fl_str_mv Setlak, Galina
Alexandrov, Mikhail
Markov, Krassimir
dc.creator.none.fl_str_mv Banda-Tapia, July Diana
Herrera, Regina Ticona
Barrios-Aranibar, Dennis
Tekli, Joe
Chbeir, Richard
dc.date.none.fl_str_mv 2012
2012
2025-04-03T06:40:25Z
2025-04-03T06:40:25Z
dc.identifier.none.fl_str_mv 9789541600603
http://hdl.handle.net/10725/16800
Banda-Tapia, J. D., Herrera, R. T., Barrios-Aranibar, D., Tekli, J., & Chbeir, R. (2012). A Multi-level fuzzy logic scheme for modeling complex problems. In Artificial Intelligence Driven Solutions to Business and Engineering Problems, 54-60. ITHEA
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://www.researchgate.net/publication/269573129_A_MULTI-LEVEL_FUZZY_LOGIC_SCHEME_FOR_MODELING_COMPLEX_PROBLEMS
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv ITHEA
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Artificial intelligence
Fuzzy logic
dc.title.none.fl_str_mv A Multi-level fuzzy logic scheme for modeling complex problems
dc.type.none.fl_str_mv Book / Chapter of a Book
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bookPart
description In this paper, we propose to exte nd traditional Fuzzy Logic(FL) techniques by creating a second set of inference rules (and the corresponding inference mechanism) in order to effectively produce results exploitable by decision makers. We present a formal definition of a multi-level FL scheme and its application in the development of: i) a break-even inference machine and ii) a legal argumentation system. The proposed scheme is shown to be useful in modeling systems where intermediary fuzzy concepts come to play, and it could be applied in several problems analog to the ones presented in this study.
eu_rights_str_mv openAccess
format bookPart
id LAURepo_f96a5a3ca5206360982d5d99a106c12f
identifier_str_mv 9789541600603
Banda-Tapia, J. D., Herrera, R. T., Barrios-Aranibar, D., Tekli, J., & Chbeir, R. (2012). A Multi-level fuzzy logic scheme for modeling complex problems. In Artificial Intelligence Driven Solutions to Business and Engineering Problems, 54-60. ITHEA
language_invalid_str_mv en
network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/16800
publishDate 2012
publisher.none.fl_str_mv ITHEA
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling A Multi-level fuzzy logic scheme for modeling complex problemsBanda-Tapia, July DianaHerrera, Regina TiconaBarrios-Aranibar, DennisTekli, JoeChbeir, RichardArtificial intelligenceFuzzy logicIn this paper, we propose to exte nd traditional Fuzzy Logic(FL) techniques by creating a second set of inference rules (and the corresponding inference mechanism) in order to effectively produce results exploitable by decision makers. We present a formal definition of a multi-level FL scheme and its application in the development of: i) a break-even inference machine and ii) a legal argumentation system. The proposed scheme is shown to be useful in modeling systems where intermediary fuzzy concepts come to play, and it could be applied in several problems analog to the ones presented in this study.ITHEASetlak, GalinaAlexandrov, MikhailMarkov, Krassimir2025-04-03T06:40:25Z2025-04-03T06:40:25Z20122012Book / Chapter of a Bookinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart9789541600603http://hdl.handle.net/10725/16800Banda-Tapia, J. D., Herrera, R. T., Barrios-Aranibar, D., Tekli, J., & Chbeir, R. (2012). A Multi-level fuzzy logic scheme for modeling complex problems. In Artificial Intelligence Driven Solutions to Business and Engineering Problems, 54-60. ITHEAhttp://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://www.researchgate.net/publication/269573129_A_MULTI-LEVEL_FUZZY_LOGIC_SCHEME_FOR_MODELING_COMPLEX_PROBLEMSeninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/168002025-04-03T06:45:09Z
spellingShingle A Multi-level fuzzy logic scheme for modeling complex problems
Banda-Tapia, July Diana
Artificial intelligence
Fuzzy logic
status_str publishedVersion
title A Multi-level fuzzy logic scheme for modeling complex problems
title_full A Multi-level fuzzy logic scheme for modeling complex problems
title_fullStr A Multi-level fuzzy logic scheme for modeling complex problems
title_full_unstemmed A Multi-level fuzzy logic scheme for modeling complex problems
title_short A Multi-level fuzzy logic scheme for modeling complex problems
title_sort A Multi-level fuzzy logic scheme for modeling complex problems
topic Artificial intelligence
Fuzzy logic
url http://hdl.handle.net/10725/16800
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://www.researchgate.net/publication/269573129_A_MULTI-LEVEL_FUZZY_LOGIC_SCHEME_FOR_MODELING_COMPLEX_PROBLEMS