2657. Extensions of PROMETHEE to multicriteria clustering: recent developments
Invited abstract in session MD-8: Methodological developments in PROMETHEE methods, stream Multiple Criteria Decision Aiding.
Monday, 14:30-16:00Room: Clarendon SR 2.08
Authors (first author is the speaker)
| 1. | Yves De Smet
|
| SMG - CoDE, Université libre de Bruxelles |
Abstract
PROMETHEE belongs to the family of so-called outranking multicriteria methods. They have been initiated and developed by Prof. Jean-Pierre Brans since the 80s. For the last fourty years, a number of researchers have contributed to its methodological developments and applications to real problems. These cover finance, health care, environmental management, logistics and transportation, education, sports, etc. The successful application of PROMETHEE is certainly due to its simplicity and the existence of user-friendly software such as PROMCALC, Decision Lab 2000, Visual PROMETHEE and D-SIGHT.
PROMETHEE has initially been developed for (partial or complete) ranking problems. Later, additional tools have been proposed like, for instance, GAIA for the descriptive problematic or PROMETHEE V for portfolio selection problems. Following this trend, J. Figueira, Y. De Smet and J.P. Brans proposed, in 2004, a first extension of PROMETHEE for sorting and clustering problems. This initial contribution has led to the development of different algorithms for sorting and clustering.
The aim of this presentation is to present recent advances in multicriteria clustering methods based on the PROMETHEE methodology. After a brief summary of existing procedures, we will focus on related research questions such as the development of partition quality indicators, the integration of clusters size constraints or the DUAL multicriteria problem.
Keywords
- Decision Analysis
- Multi-Objective Decision Making
Status: accepted
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