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dc.contributor.author
Buron Brarda, Martín Ezequiel  
dc.contributor.author
Tamargo, Luciano Héctor  
dc.contributor.author
García, Alejandro Jorge  
dc.date.available
2020-11-02T20:13:10Z  
dc.date.issued
2019-07-15  
dc.identifier.citation
Buron Brarda, Martín Ezequiel; Tamargo, Luciano Héctor; García, Alejandro Jorge; An approach to enhance argument-based multi-criteria decision systems with conditional preferences and explainable answers; Pergamon-Elsevier Science Ltd; Expert Systems with Applications; 126; 15-7-2019; 171-186  
dc.identifier.issn
0957-4174  
dc.identifier.uri
http://hdl.handle.net/11336/117435  
dc.description.abstract
In our current society, it is very common to have access to a huge amount of information and scenarios in which it is possible to choose among a great number of alternatives. Therefore, systems that automate or assist with the decision-making process are becoming crucial. Those systems should allow users to represent their preferences accurately, even in scenarios where the user has many forms of comparing the available alternatives. In this paper, we propose an argument-based framework for multi-criteria decision-making based on conditional rules, that allows users to encode their preferences among the comparison criteria in terms of requirement and tolerance values. From these rules, arguments that are involved in the comparison process are generated. In order to comply with users’ demands for explanations of the given answers, our proposed framework can provide qualitative explanations about the argumentation process, and also an explanatory graph that shows how all the alternatives were ranked and the connections with the user's rules that were used. We also show the results of an empirical analysis of the performance of a developed prototype.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Pergamon-Elsevier Science Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ARGUMENTATION  
dc.subject
CONDITIONAL PREFERENCE RULES  
dc.subject
DECISION SUPPORT SYSTEM  
dc.subject
EXPLANATIONS  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
An approach to enhance argument-based multi-criteria decision systems with conditional preferences and explainable answers  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-02-26T19:38:33Z  
dc.journal.volume
126  
dc.journal.pagination
171-186  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Cambridge  
dc.description.fil
Fil: Buron Brarda, Martín Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina  
dc.description.fil
Fil: Tamargo, Luciano Héctor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina  
dc.description.fil
Fil: García, Alejandro Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina  
dc.journal.title
Expert Systems with Applications  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0957417419301265  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.eswa.2019.02.021