PROLOG-CC: A fuzzy expert system applied to soil science

Detalhes bibliográficos
Autor(a) principal: Siqueira, Jucilene M.
Data de Publicação: 2018
Outros Autores: Rocio, Vitor
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.34627/rcc.v5i0.28
Resumo: Artificial intelligence techniques are appropriate computational tools for modelling transformation processes that occur in nature. That fact alone suggests the development of an expert system supported by the logic programming paradigm, based on fuzzy reasoning rules, which enables expert knowledge encoding. The expert system proposed in this paper consists of rules that simulate the knowledge and reasoning processes of a human expert. We describe the encoding, inference and decoding processes of a fuzzy expert system that applies to the analysis of soil fertility. The estimated final value is calculated through the mecanism of rule aggregation called Ordered Weight Decoder - OWD. This expert system is a prototype that can be extended to more complex systems such as, for example, biosystems engineering, aiming to automate the expert analysis.
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spelling PROLOG-CC: A fuzzy expert system applied to soil sciencePROLOG-CC: Um Sistema Pericial Difuso Aplicado à Ciência do SoloArtificial intelligence techniques are appropriate computational tools for modelling transformation processes that occur in nature. That fact alone suggests the development of an expert system supported by the logic programming paradigm, based on fuzzy reasoning rules, which enables expert knowledge encoding. The expert system proposed in this paper consists of rules that simulate the knowledge and reasoning processes of a human expert. We describe the encoding, inference and decoding processes of a fuzzy expert system that applies to the analysis of soil fertility. The estimated final value is calculated through the mecanism of rule aggregation called Ordered Weight Decoder - OWD. This expert system is a prototype that can be extended to more complex systems such as, for example, biosystems engineering, aiming to automate the expert analysis.As técnicas da inteligência artificial são ferramentas computacionais apropriadas paramodelar processos de transformação que ocorrem na natureza. Tal fato sugere odesenvolvimento de um sistema pericial suportado pelo paradigma da programação em lógica,baseado em regras com raciocínio difuso, possibilitando captar o conhecimento dos peritos. Osistema pericial proposto neste artigo consiste em regras que simulam o conhecimento e oprocesso de raciocínio do perito humano. São descritos os processos de codificação,inferência e descodificação de um sistema pericial difuso aplicável à análise de fertilidade dossolos. A estimativa do valor final é calculada mediante o mecanismo de agregação de regrasdenominado Descodificador de Peso Ordenado – DPO. Este sistema pericial é um protótipoque pode ser expandido para sistemas de maior complexidade como, por exemplo, aengenharia de biossistemas, visando automatizar as análises periciais.Universidade Aberta2018-03-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.34627/rcc.v5i0.28oai:ojs2.journals.uab.pt:article/28Revista de Ciências da Computação; v. 5 (2010)2182-18011646-633010.34627/rcc.v5i0reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttps://journals.uab.pt/index.php/rcc/article/view/28https://doi.org/10.34627/rcc.v5i0.28https://journals.uab.pt/index.php/rcc/article/view/28/18Direitos de Autor (c) 2011 Universidade Abertahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSiqueira, Jucilene M.Rocio, Vitor2022-10-25T11:31:50Zoai:ojs2.journals.uab.pt:article/28Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:13:57.561049Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv PROLOG-CC: A fuzzy expert system applied to soil science
PROLOG-CC: Um Sistema Pericial Difuso Aplicado à Ciência do Solo
title PROLOG-CC: A fuzzy expert system applied to soil science
spellingShingle PROLOG-CC: A fuzzy expert system applied to soil science
Siqueira, Jucilene M.
title_short PROLOG-CC: A fuzzy expert system applied to soil science
title_full PROLOG-CC: A fuzzy expert system applied to soil science
title_fullStr PROLOG-CC: A fuzzy expert system applied to soil science
title_full_unstemmed PROLOG-CC: A fuzzy expert system applied to soil science
title_sort PROLOG-CC: A fuzzy expert system applied to soil science
author Siqueira, Jucilene M.
author_facet Siqueira, Jucilene M.
Rocio, Vitor
author_role author
author2 Rocio, Vitor
author2_role author
dc.contributor.author.fl_str_mv Siqueira, Jucilene M.
Rocio, Vitor
description Artificial intelligence techniques are appropriate computational tools for modelling transformation processes that occur in nature. That fact alone suggests the development of an expert system supported by the logic programming paradigm, based on fuzzy reasoning rules, which enables expert knowledge encoding. The expert system proposed in this paper consists of rules that simulate the knowledge and reasoning processes of a human expert. We describe the encoding, inference and decoding processes of a fuzzy expert system that applies to the analysis of soil fertility. The estimated final value is calculated through the mecanism of rule aggregation called Ordered Weight Decoder - OWD. This expert system is a prototype that can be extended to more complex systems such as, for example, biosystems engineering, aiming to automate the expert analysis.
publishDate 2018
dc.date.none.fl_str_mv 2018-03-18
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/other
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.34627/rcc.v5i0.28
oai:ojs2.journals.uab.pt:article/28
url https://doi.org/10.34627/rcc.v5i0.28
identifier_str_mv oai:ojs2.journals.uab.pt:article/28
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://journals.uab.pt/index.php/rcc/article/view/28
https://doi.org/10.34627/rcc.v5i0.28
https://journals.uab.pt/index.php/rcc/article/view/28/18
dc.rights.driver.fl_str_mv Direitos de Autor (c) 2011 Universidade Aberta
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos de Autor (c) 2011 Universidade Aberta
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Aberta
publisher.none.fl_str_mv Universidade Aberta
dc.source.none.fl_str_mv Revista de Ciências da Computação; v. 5 (2010)
2182-1801
1646-6330
10.34627/rcc.v5i0
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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