Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia Agrícola |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200350 |
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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Engenharia Agrícola |
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Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chainfuzzy systemtransactionscassavauncertaintyA 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.Associação Brasileira de Engenharia Agrícola2015-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200350Engenharia Agrícola v.35 n.2 2015reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-Eng.Agric.v35n2p350-367/2015info:eu-repo/semantics/openAccessGABRIEL FILHO,LUÍS R. APIGATTO,GIULIANA A. S.LOURENZANI,ANA E. B. S.eng2016-07-14T00:00:00Zoai:scielo:S0100-69162015000200350Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2016-07-14T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false |
dc.title.none.fl_str_mv |
Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain |
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 R. A fuzzy system transactions cassava uncertainty |
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 R. A |
author_facet |
GABRIEL FILHO,LUÍS R. A PIGATTO,GIULIANA A. S. LOURENZANI,ANA E. B. S. |
author_role |
author |
author2 |
PIGATTO,GIULIANA A. S. LOURENZANI,ANA E. B. S. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
GABRIEL FILHO,LUÍS R. A PIGATTO,GIULIANA A. S. LOURENZANI,ANA E. B. S. |
dc.subject.por.fl_str_mv |
fuzzy system transactions cassava uncertainty |
topic |
fuzzy system transactions cassava uncertainty |
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 |
2015-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200350 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200350 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1809-4430-Eng.Agric.v35n2p350-367/2015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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 |
Engenharia Agrícola v.35 n.2 2015 reponame:Engenharia Agrícola instname:Associação Brasileira de Engenharia Agrícola (SBEA) instacron:SBEA |
instname_str |
Associação Brasileira de Engenharia Agrícola (SBEA) |
instacron_str |
SBEA |
institution |
SBEA |
reponame_str |
Engenharia Agrícola |
collection |
Engenharia Agrícola |
repository.name.fl_str_mv |
Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA) |
repository.mail.fl_str_mv |
revistasbea@sbea.org.br||sbea@sbea.org.br |
_version_ |
1752126272326074368 |