IRIS: a DSS for multiple criteria sorting problems

Detalhes bibliográficos
Autor(a) principal: Dias, Luís C.
Data de Publicação: 2003
Outros Autores: Mousseau, Vincent
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/8381
https://doi.org/10.1002/mcda.364
Resumo: This paper presents Interactive Robustness analysis and parameters' Inference for multicriteria Sorting problems (IRIS), a Decision Support System (DSS) designed to sort actions (projects, candidates, alternatives, clients, etc.) described by their performances on multiple criteria into an ordered set of categories defined a priori. It is based on the ELECTRE TRI sorting method, but does not require the decision maker (DM) to indicate precise values for all of the method's parameters. More realistically, the software expects the DM to indicate some constraints that these parameters should respect, including sorting examples that the program should reproduce. If the constraints indicated by the DM do not contradict each other (i.e. form a consistent system), then IRIS infers a combination of parameter values that reproduces all the sorting examples, indicating also the range of possible assignments of actions to categories that would be possible without violating any of the stated constraints. If the constraints are contradictory (i.e. form an inconsistent system), then IRIS suggests a combination of parameter values that minimizes an error function and identifies alternative ways to restore the system's consistency by removing some constraints. Copyright © 2005 John Wiley & Sons, Ltd.
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spelling IRIS: a DSS for multiple criteria sorting problemsThis paper presents Interactive Robustness analysis and parameters' Inference for multicriteria Sorting problems (IRIS), a Decision Support System (DSS) designed to sort actions (projects, candidates, alternatives, clients, etc.) described by their performances on multiple criteria into an ordered set of categories defined a priori. It is based on the ELECTRE TRI sorting method, but does not require the decision maker (DM) to indicate precise values for all of the method's parameters. More realistically, the software expects the DM to indicate some constraints that these parameters should respect, including sorting examples that the program should reproduce. If the constraints indicated by the DM do not contradict each other (i.e. form a consistent system), then IRIS infers a combination of parameter values that reproduces all the sorting examples, indicating also the range of possible assignments of actions to categories that would be possible without violating any of the stated constraints. If the constraints are contradictory (i.e. form an inconsistent system), then IRIS suggests a combination of parameter values that minimizes an error function and identifies alternative ways to restore the system's consistency by removing some constraints. Copyright © 2005 John Wiley & Sons, Ltd.2003info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/8381http://hdl.handle.net/10316/8381https://doi.org/10.1002/mcda.364engJournal of Multi-Criteria Decision Analysis. 12:4-5 (2003) 285-298Dias, Luís C.Mousseau, Vincentinfo: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:RCAAP2020-05-25T13:23:24Zoai:estudogeral.uc.pt:10316/8381Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:47:20.363542Repositório 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 IRIS: a DSS for multiple criteria sorting problems
title IRIS: a DSS for multiple criteria sorting problems
spellingShingle IRIS: a DSS for multiple criteria sorting problems
Dias, Luís C.
title_short IRIS: a DSS for multiple criteria sorting problems
title_full IRIS: a DSS for multiple criteria sorting problems
title_fullStr IRIS: a DSS for multiple criteria sorting problems
title_full_unstemmed IRIS: a DSS for multiple criteria sorting problems
title_sort IRIS: a DSS for multiple criteria sorting problems
author Dias, Luís C.
author_facet Dias, Luís C.
Mousseau, Vincent
author_role author
author2 Mousseau, Vincent
author2_role author
dc.contributor.author.fl_str_mv Dias, Luís C.
Mousseau, Vincent
description This paper presents Interactive Robustness analysis and parameters' Inference for multicriteria Sorting problems (IRIS), a Decision Support System (DSS) designed to sort actions (projects, candidates, alternatives, clients, etc.) described by their performances on multiple criteria into an ordered set of categories defined a priori. It is based on the ELECTRE TRI sorting method, but does not require the decision maker (DM) to indicate precise values for all of the method's parameters. More realistically, the software expects the DM to indicate some constraints that these parameters should respect, including sorting examples that the program should reproduce. If the constraints indicated by the DM do not contradict each other (i.e. form a consistent system), then IRIS infers a combination of parameter values that reproduces all the sorting examples, indicating also the range of possible assignments of actions to categories that would be possible without violating any of the stated constraints. If the constraints are contradictory (i.e. form an inconsistent system), then IRIS suggests a combination of parameter values that minimizes an error function and identifies alternative ways to restore the system's consistency by removing some constraints. Copyright © 2005 John Wiley & Sons, Ltd.
publishDate 2003
dc.date.none.fl_str_mv 2003
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/8381
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https://doi.org/10.1002/mcda.364
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dc.relation.none.fl_str_mv Journal of Multi-Criteria Decision Analysis. 12:4-5 (2003) 285-298
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