Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain

Detalhes bibliográficos
Autor(a) principal: Gabriel Filho, Luís Roberto Almeida [UNESP]
Data de Publicação: 2015
Outros Autores: Pigatto, Giuliana Aparecida Santini [UNESP], Lourenzani, Ana E. B. S. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v35n2p350-367/2015
http://hdl.handle.net/11449/190693
Resumo: A fuzzy ruled-based system was developed in this study and resulted in an index indicating the level of uncertainty related to commercial transactions between cassava growers and their dealers. The fuzzy system was developed based on Transaction Cost Economics approach. The fuzzy system was developed from input variables regarding information sharing between grower and dealer on “Demand/purchase Forecasting”, “Production Forecasting” and “Production Innovation”. The output variable is the level of uncertainty regarding the transaction between seller and buyer agent, which may serve as a system for detecting inefficiencies. Evidences from 27 cassava growers registered in the Regional Development Offices of Tupa and Assis, São Paulo, Brazil, and 48 of their dealers supported the development of the system. The mathematical model indicated that 55% of the growers present a Very High level of uncertainty, 33% present Medium or High. The others present Low or Very Low level of uncertainty. From the model, simulations of external interferences can be implemented in order to improve the degree of uncertainty and, thus, lower transaction costs.
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spelling Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chainSistema baseado em regras fuzzy para avaliação de incerteza na transação na cadeia de mandiocaFuzzy systemTransactionsCassavaUncertaintySistema FuzzyTransaçõesMandiocaIncertezaA fuzzy ruled-based system was developed in this study and resulted in an index indicating the level of uncertainty related to commercial transactions between cassava growers and their dealers. The fuzzy system was developed based on Transaction Cost Economics approach. The fuzzy system was developed from input variables regarding information sharing between grower and dealer on “Demand/purchase Forecasting”, “Production Forecasting” and “Production Innovation”. The output variable is the level of uncertainty regarding the transaction between seller and buyer agent, which may serve as a system for detecting inefficiencies. Evidences from 27 cassava growers registered in the Regional Development Offices of Tupa and Assis, São Paulo, Brazil, and 48 of their dealers supported the development of the system. The mathematical model indicated that 55% of the growers present a Very High level of uncertainty, 33% present Medium or High. The others present Low or Very Low level of uncertainty. From the model, simulations of external interferences can be implemented in order to improve the degree of uncertainty and, thus, lower transaction costs.Este trabalho apresenta um sistema baseado em regras fuzzy que resultou em um índice que indica o nível de incerteza relacionada com as transações comerciais entre produtores de mandioca e de seus compradores, com base na abordagem da Economia dos Custos de Transação. O sistema fuzzy foi desenvolvido utilizando como variáveis ​​de entrada Previsão de Demanda/compra, Previsão de Produção e Compartilhamento de informações acerca de inovações de produção. A variável de saída consiste no nível de incerteza da transação entre vendedor e agente comprador, que pode servir como um sistema para a detecção de ineficiências. Entrevistas realizadas com 27 produtores de mandioca registrados nos Escritórios de Desenvolvimento Regionais de Tupã e Assis, São Paulo, Brasil, e 48 de seus compradores sustentaram o desenvolvimento do sistema. O modelo matemático aplicado na avaliação destes produtores indicou que 55% dos produtores têm relações comerciais com nível de incerteza Muito Alta, 25% Média ou Alta; e os demais, classificados entre Baixa ou Média. A partir dos resultados encontrados, simulações de ações poderiam ser implementadas para reduzir o grau de incerteza e os custos de transação envolvidos.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ)Univ. Estadual Paulista Laboratório de Matemática Aplicada e ComputacionalUNESP - Univ. Estadual PaulistaUNESP - Univ. Estadual PaulistaCNPq: 400601/2010-9CNPq: 480985/2008-1Associação Brasileira de Engenharia AgrícolaUniversidade Estadual Paulista (Unesp)Gabriel Filho, Luís Roberto Almeida [UNESP]Pigatto, Giuliana Aparecida Santini [UNESP]Lourenzani, Ana E. B. S. [UNESP]2018-12-11T16:38:41Z2015-08-26T19:21:44Z2018-12-11T16:38:41Z2015-08-26T19:21:44Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article350-367application/pdfhttp://dx.doi.org/10.1590/1809-4430-Eng.Agric.v35n2p350-367/2015Engenharia Agrícola, v. 35, n. 2, p. 350-367, 2015.1808-43890100-6916http://hdl.handle.net/11449/19069310.1590/1809-4430-Eng.Agric.v35n2p350-367/2015S0100-691620150002003502-s2.0-84934285163S0100-69162015000200350.pdf5255054247692798ScopusSciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngenharia Agrícola0.3870,305info:eu-repo/semantics/openAccess2024-06-10T14:49:03Zoai:repositorio.unesp.br:11449/190693Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:16:27.823751Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain
Sistema baseado em regras fuzzy para avaliação de incerteza na transação na cadeia de mandioca
title Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain
spellingShingle Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain
Gabriel Filho, Luís Roberto Almeida [UNESP]
Fuzzy system
Transactions
Cassava
Uncertainty
Sistema Fuzzy
Transações
Mandioca
Incerteza
title_short Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain
title_full Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain
title_fullStr Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain
title_full_unstemmed Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain
title_sort Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain
author Gabriel Filho, Luís Roberto Almeida [UNESP]
author_facet Gabriel Filho, Luís Roberto Almeida [UNESP]
Pigatto, Giuliana Aparecida Santini [UNESP]
Lourenzani, Ana E. B. S. [UNESP]
author_role author
author2 Pigatto, Giuliana Aparecida Santini [UNESP]
Lourenzani, Ana E. B. S. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Gabriel Filho, Luís Roberto Almeida [UNESP]
Pigatto, Giuliana Aparecida Santini [UNESP]
Lourenzani, Ana E. B. S. [UNESP]
dc.subject.por.fl_str_mv Fuzzy system
Transactions
Cassava
Uncertainty
Sistema Fuzzy
Transações
Mandioca
Incerteza
topic Fuzzy system
Transactions
Cassava
Uncertainty
Sistema Fuzzy
Transações
Mandioca
Incerteza
description A fuzzy ruled-based system was developed in this study and resulted in an index indicating the level of uncertainty related to commercial transactions between cassava growers and their dealers. The fuzzy system was developed based on Transaction Cost Economics approach. The fuzzy system was developed from input variables regarding information sharing between grower and dealer on “Demand/purchase Forecasting”, “Production Forecasting” and “Production Innovation”. The output variable is the level of uncertainty regarding the transaction between seller and buyer agent, which may serve as a system for detecting inefficiencies. Evidences from 27 cassava growers registered in the Regional Development Offices of Tupa and Assis, São Paulo, Brazil, and 48 of their dealers supported the development of the system. The mathematical model indicated that 55% of the growers present a Very High level of uncertainty, 33% present Medium or High. The others present Low or Very Low level of uncertainty. From the model, simulations of external interferences can be implemented in order to improve the degree of uncertainty and, thus, lower transaction costs.
publishDate 2015
dc.date.none.fl_str_mv 2015-08-26T19:21:44Z
2015-08-26T19:21:44Z
2015-01-01
2018-12-11T16:38:41Z
2018-12-11T16:38:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v35n2p350-367/2015
Engenharia Agrícola, v. 35, n. 2, p. 350-367, 2015.
1808-4389
0100-6916
http://hdl.handle.net/11449/190693
10.1590/1809-4430-Eng.Agric.v35n2p350-367/2015
S0100-69162015000200350
2-s2.0-84934285163
S0100-69162015000200350.pdf
5255054247692798
url http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v35n2p350-367/2015
http://hdl.handle.net/11449/190693
identifier_str_mv Engenharia Agrícola, v. 35, n. 2, p. 350-367, 2015.
1808-4389
0100-6916
10.1590/1809-4430-Eng.Agric.v35n2p350-367/2015
S0100-69162015000200350
2-s2.0-84934285163
S0100-69162015000200350.pdf
5255054247692798
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Engenharia Agrícola
0.387
0,305
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 350-367
application/pdf
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Scopus
SciELO
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128628235436032

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