<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper proposes the combination of the THESEUS multi-criteria sorting method with an evolutionary optimization-based preference-disaggregation analysis. The main features of the combined method are studied by performing an extensive computer experiment that explores many models of preferences and sizes of problems as well as different degrees of decision-maker involvement. As a result of the experiment, the effectiveness of the combined framework and the importance of the decision-maker’s involvement are characterized.</p></abstract>

This paper proposes the combination of the THESEUS multi-criteria sorting method with an evolutionary optimization-based preference-disaggregation analysis. The main features of the combined method are studied by performing an extensive computer experiment that explores many models of preferences and sizes of problems as well as different degrees of decision-maker involvement. As a result of the experiment, the effectiveness of the combined framework and the importance of the decision-maker’s involvement are characterized.

Handling the Multiplicity of Solutions in a Moea Based PDA-THESEUS Framework for Multi-Criteria Sorting

Autonomous University of Sinaloa, Faculty of Civil Engineering, Blvd. Las Americas, Ciudad Universitaria Culiacan, Sinaloa, CP. 80040,

Autonomous University of Sinaloa, Faculty of Computer Science, Josefa Ortiz de Dominguez Ote., Ciudad Universitaria, Culiacan, Sinaloa, CP. 80040,

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This paper proposes the combination of the THESEUS multi-criteria sorting method with an evolutionary optimization-based preference-disaggregation analysis....

Handling the Multiplicity of Solutions in a Moea Based PDA-THESEUS Framework for Multi-Criteria Sorting

Online veröffentlicht: 13. Dez. 2016

Seitenbereich: 213 - 235

Eingereicht: 26. Jan. 2016

Akzeptiert: 19. Sept. 2016

DOI: https://doi.org/10.1515/fcds-2016-0013

Schlüsselwörter
multi-criteria decision, fuzzy outranking relations, parameter elicitation, evolutionary algorithms

© by Eduardo Fernández

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Handling the Multiplicity of Solutions in a Moea Based PDA-THESEUS Framework for Multi-Criteria Sorting

Online veröffentlicht: 13. Dez. 2016

Seitenbereich: 213 - 235

Eingereicht: 26. Jan. 2016

Akzeptiert: 19. Sept. 2016

DOI: https://doi.org/10.1515/fcds-2016-0013

Schlüsselwörtermulti-criteria decision, fuzzy outranking relations, parameter elicitation, evolutionary algorithms

© by Eduardo Fernández

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
multi-criteria decision, fuzzy outranking relations, parameter elicitation, evolutionary algorithms