Treffer: Extensions of the PROMETHEE Method to Deal with Segmentation Constraints: Application in a Students' Selection Problem

Title:
Extensions of the PROMETHEE Method to Deal with Segmentation Constraints: Application in a Students' Selection Problem
Source:
Journal of decision systems. 18(2):203-229
Publisher Information:
Paris: Lavoisier, 2009.
Publication Year:
2009
Physical Description:
print, 2 p.1/4
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
National Technical University of Athens Zographou Campus, Athens 15780, Greece
Agricultural University of Athens Iera Odos 75, Athens 11855, Greece
ISSN:
1246-0125
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Operational research. Management
Accession Number:
edscal.21820112
Database:
PASCAL Archive

Weitere Informationen

The aim of the present paper is to propose a novel version of the well known multi-criteria method PROMETHEE that deals with segmentation constraints and is also suitable for group decision making. The motivation for the development of the method was a real case study concerning the selection of students for a postgraduate program. The proposed method, named PROMETHEE V2, is based on the principles of PROMETHEE V but uses the results of PROMETHEE I (instead of PROMETHEE II) and exploits the information provided by the leaving and entering flows in order to formulate a bi-objective Integer Programming problem. The solution of the latter produces the Pareto optimal solutions which are usually more than one. Due to its structure, the whole decision process is especially suitable for group decision making.