A weight space-based approach to fuzzy multiple-objective linear programming
Autor(a) principal: | |
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Data de Publicação: | 2003 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/4075 |
Resumo: | In this paper, the effects of uncertainty on multiple-objective linear programming models are studied using the concepts of fuzzy set theory. The proposed interactive decision support system is based on the interactive exploration of the weight space. The comparative analysis of indifference regions on the various weight spaces (which vary according to intervals of values of the satisfaction degree of objective functions and constraints) enables to study the stability and evolution of the basis that correspond to the calculated efficient solutions with changes of some model parameters. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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A weight space-based approach to fuzzy multiple-objective linear programmingmultiple-objective linear programmingFuzzy setsInteractive methodsWeight spaceEfficient solutionsDecision support systemsIn this paper, the effects of uncertainty on multiple-objective linear programming models are studied using the concepts of fuzzy set theory. The proposed interactive decision support system is based on the interactive exploration of the weight space. The comparative analysis of indifference regions on the various weight spaces (which vary according to intervals of values of the satisfaction degree of objective functions and constraints) enables to study the stability and evolution of the basis that correspond to the calculated efficient solutions with changes of some model parameters.http://www.sciencedirect.com/science/article/B6V8S-45S9DHF-2/1/f597062363c29e9bb464a6ba6f21f0d82003info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/4075http://hdl.handle.net/10316/4075engDecision Support Systems. 34:4 (2003) 427-443Borges, Ana RosaAntunes, Carlos Henggelerinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-05-29T09:42:23Zoai:estudogeral.uc.pt:10316/4075Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:53.153282Repositório 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 |
A weight space-based approach to fuzzy multiple-objective linear programming |
title |
A weight space-based approach to fuzzy multiple-objective linear programming |
spellingShingle |
A weight space-based approach to fuzzy multiple-objective linear programming Borges, Ana Rosa multiple-objective linear programming Fuzzy sets Interactive methods Weight space Efficient solutions Decision support systems |
title_short |
A weight space-based approach to fuzzy multiple-objective linear programming |
title_full |
A weight space-based approach to fuzzy multiple-objective linear programming |
title_fullStr |
A weight space-based approach to fuzzy multiple-objective linear programming |
title_full_unstemmed |
A weight space-based approach to fuzzy multiple-objective linear programming |
title_sort |
A weight space-based approach to fuzzy multiple-objective linear programming |
author |
Borges, Ana Rosa |
author_facet |
Borges, Ana Rosa Antunes, Carlos Henggeler |
author_role |
author |
author2 |
Antunes, Carlos Henggeler |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Borges, Ana Rosa Antunes, Carlos Henggeler |
dc.subject.por.fl_str_mv |
multiple-objective linear programming Fuzzy sets Interactive methods Weight space Efficient solutions Decision support systems |
topic |
multiple-objective linear programming Fuzzy sets Interactive methods Weight space Efficient solutions Decision support systems |
description |
In this paper, the effects of uncertainty on multiple-objective linear programming models are studied using the concepts of fuzzy set theory. The proposed interactive decision support system is based on the interactive exploration of the weight space. The comparative analysis of indifference regions on the various weight spaces (which vary according to intervals of values of the satisfaction degree of objective functions and constraints) enables to study the stability and evolution of the basis that correspond to the calculated efficient solutions with changes of some model parameters. |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003 |
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://hdl.handle.net/10316/4075 http://hdl.handle.net/10316/4075 |
url |
http://hdl.handle.net/10316/4075 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Decision Support Systems. 34:4 (2003) 427-443 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
aplication/PDF |
dc.source.none.fl_str_mv |
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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1799133868180111360 |