101 research outputs found
Dealing with Interaction Between Bipolar Multiple Criteria Preferences in PROMETHEE Methods
In this paper, we consider the bipolar approach to Multiple Criteria Decision
Analysis (MCDA). In particular we aggregate positive and negative preferences
by means of the bipolar PROMETHEE method. To elicit preferences we consider
Robust Ordinal Regression (ROR) that has been recently proposed to derive
robust conclusions through the use of the concepts of possible and necessary
preferences. It permits to take into account the whole set of preference
parameters compatible with the preference information provided by the Decision
Maker (DM)
The SMAA-PROMETHEE method
Abstract: PROMETHEE methods are widely used in Multiple Criteria Decision Aiding (MCDA) to deal with real world decision making problems. In this paper, we propose to apply the Stochastic Multicriteria Acceptability Analysis (SMAA) to the family of PROMETHEE methods in order to explore the whole set of parameters compatible with some preference information provided by the Decision Maker (DM). The application of the presented methodology is described in a didactic example
Decision support system for project monitoring portfolio
Vallejo Antich, RA. (2010). Decision support system for project monitoring portfolio. http://hdl.handle.net/10251/8632.Archivo delegad
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