Automatic Enhancement of the Reference Set for Multi-Criteria Sorting in The Frame of Theseus Method

• Autorzy: Fernandez E. , Navarro J. , Salomon E.

Identyfikatory

DOI

10.2478/fcds-2014-0005

• Języki publikacji: EN

Abstrakty

EN

Some recent works have established the importance of handling abundant reference information in multi-criteria sorting problems. More valid information allows a better characterization of the agent’s assignment policy, which can lead to an improved decision support. However, sometimes information for enhancing the reference set may be not available, or may be too expensive. This paper explores an automatic mode of enhancing the reference set in the framework of the THESEUS multi-criteria sorting method. Some performance measures are defined in order to test results of the enhancement. Several theoretical arguments and practical experiments are provided here, supporting a basic advantage of the automatic enhancement: a reduction of the vagueness measure that improves the THESEUS accuracy, without additional efforts from the decision agent. The experiments suggest that the errors coming from inadequate automatic assignments can be kept at a manageable level.

Słowa kluczowe

EN

multi-criteria decision; sorting; outranking methods; knowledge management

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2014
• Tom: Vol. 39, No. 2
• Strony: 57--77
• Opis fizyczny: Bibliogr. 16 poz.

Twórcy

autor

Fernandez E.

• Autonomous University of Sinaloa

autor

Navarro J.

• Autonomous University of Sinaloa

autor

Salomon E.

• Autonomous University of Sinaloa

Bibliografia

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