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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
17/11/2014 |
Data da última atualização: |
06/02/2024 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
YAGUINUMA, C. A.; MAGALHAES JUNIOR, W. C. P. de; SANTOS, M. T. P.; CAMARGO, H. A.; REFORMAT, M. |
Afiliação: |
CRISTIANE A. YAGUINUMA, UFSC; WALTER COELHO P DE MAGALHAES JUNIOR, CNPGL; MARILDE T. P. SANTOS, UFSC; HELOISA A. CAMARGO, UFSC; MAREK REFORMAT, University of Alberta, Canada. |
Título: |
Combining fuzzy ontology reasoning and mamdani fuzzy inference system with HyFOM reasoner. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
In: HAMMOUDI, S., CORDEIRO, J., MACIASZEK, L., FILIPE, J. (ed.). Enterprise information systems. Cham: Springer, 2014. |
Volume: |
190 |
Série: |
(Lecture Notes in Business Information Processing, v. 190.) |
DOI: |
https://link.springer.com/bookseries/7911 |
Idioma: |
Inglês |
Conteúdo: |
Representing and processing imprecise knowledge has been a requirement for a number of applications. Some real-world domains as well as human subjective perceptions are intrinsically fuzzy, therefore conventional formalisms may not be sufficient to capture the intended semantics. In this sense, fuzzy ontologies and Mamdani fuzzy inference systems have been successfully applied for knowledge representation and reasoning. Combining their reasoning approaches can lead to inferences involving fuzzy rules and numerical properties from ontologies, which can be required to perform other fuzzy ontology reasoning tasks such as the fuzzy instance check. To address this issue, this paper describes the HyFOM reasoner, which follows a hybrid architecture to combine fuzzy ontology reasoning with Mamdani fuzzy inference system. A real-world case study involving the domain of food safety is presented, including comparative results with a state-of-the-art fuzzy description logic reasoner. |
Palavras-Chave: |
Fuzzy ontology; Hybrid reasoner; Knowledge representation and reasoning; Mamdani fuzzy inference system. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 01912naa a2200253 a 4500 001 2000332 005 2024-02-06 008 2014 bl uuuu u00u1 u #d 024 7 $ahttps://link.springer.com/bookseries/7911$2DOI 100 1 $aYAGUINUMA, C. A. 245 $aCombining fuzzy ontology reasoning and mamdani fuzzy inference system with HyFOM reasoner.$h[electronic resource] 260 $c2014 300 $a190 490 $a(Lecture Notes in Business Information Processing, v. 190.)$v190 520 $aRepresenting and processing imprecise knowledge has been a requirement for a number of applications. Some real-world domains as well as human subjective perceptions are intrinsically fuzzy, therefore conventional formalisms may not be sufficient to capture the intended semantics. In this sense, fuzzy ontologies and Mamdani fuzzy inference systems have been successfully applied for knowledge representation and reasoning. Combining their reasoning approaches can lead to inferences involving fuzzy rules and numerical properties from ontologies, which can be required to perform other fuzzy ontology reasoning tasks such as the fuzzy instance check. To address this issue, this paper describes the HyFOM reasoner, which follows a hybrid architecture to combine fuzzy ontology reasoning with Mamdani fuzzy inference system. A real-world case study involving the domain of food safety is presented, including comparative results with a state-of-the-art fuzzy description logic reasoner. 653 $aFuzzy ontology 653 $aHybrid reasoner 653 $aKnowledge representation and reasoning 653 $aMamdani fuzzy inference system 700 1 $aMAGALHAES JUNIOR, W. C. P. de 700 1 $aSANTOS, M. T. P. 700 1 $aCAMARGO, H. A. 700 1 $aREFORMAT, M. 773 $tIn: HAMMOUDI, S., CORDEIRO, J., MACIASZEK, L., FILIPE, J. (ed.). Enterprise information systems. Cham: Springer, 2014.
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51. | | YAGUINUMA, C. A.; MAGALHAES JUNIOR, W. C. P. de; SANTOS, M. T. P.; CAMARGO, H. A.; REFORMAT, M. Combining fuzzy ontology reasoning and mamdani fuzzy inference system with HyFOM reasoner. In: HAMMOUDI, S., CORDEIRO, J., MACIASZEK, L., FILIPE, J. (ed.). Enterprise information systems. Cham: Springer, 2014. 190 (Lecture Notes in Business Information Processing, v. 190.)Tipo: Capítulo em Livro Técnico-Científico |
Biblioteca(s): Embrapa Gado de Leite. |
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53. | | YAGUINUMA, C. A.; MAGALHAES JUNIOR, W. C. P. de; SANTOS, M. T. P.; CAMARGO, H. A.; REFORMAT, M. HyFOM reasoner: hybrid integration of fuzzy ontology and Mamdani reasoning. In: INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, 15.; INTERNATIONAL CONFERENCE ON EVALUATION OF NOVEL APPROACHES TO SOFTWARE ENGINEERING, 8., 2013, Angers Loire Valley. Proceedings... [S.l.]: Scitepress, 2013. 1 CD-ROM.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Gado de Leite. |
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Registros recuperados : 104 | |
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