Purpose Making techniques PROMETHEE, direction of research in this emerging field. Design/Methodology/Approach: literature related to MCDM techniques PROMETHEE, ELECTRE, VIKOR and TOPSIS. Literature has been segregated to understand various issues and work related to MCDM techniques PROMETHEE, ELECTRE, VIKOR and TOPSIS. A detailed review is used to sort out the literature and develop the resear...

This paper gives an overview of the PROMETHEE methodology for MCDM. It starts with general comments on Multicriterion problems, stressing that a Multicriterion problem cannot be treated without additional information related to the preferences and the priorities of the decision-makers. The information requested by PROMETHEE is particularly clear and easy to define for both decision-makers and a...

The Multiple Criteria Decision Aiding (MCDA) has been a fast growing area of operations research and management science during the last decades, while the PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) is one of the well-known MCDA methods with ranking the alternatives from the best to the worst. In this paper, we propose a new outranking method called Prioritized...

Important elements for the success of the PROMETHEE methods have been the development of numerous extensions and interactive software. The purpose of the paper is to show the evolution of the PROMETHEE methods and of their software implementation over time. Starting with PROMCALC and the first visual sensitivity analysis tools (Walking Weights), we stress less known extensions of the methodolog...

Measuring quality of object oriented (OO) software is challenging mainly because we are facing a number of more or less dependent parameters that characterize the properties of good OO design. This paper proposes a combination of AHP and PROMETHEE for measuring object oriented software design. We have compared AHP and PROMETHEE performance for such purpose in the ISAHP 2011. The result suggeste...

The method Promethee II has produced attractive results in the choice of the most satisfactory optimal solution of convex multiobjective problems. However, according to the current literature, it may not work properly with nonconvex problems. A modified version of this method, called multiplicative Promethee, is proposed in this paper. Both versions are applied to some analytical problems, prev...

This research paper aims to give a new dimension to the decision maker by proposing a hybrid model of analytic hierarchy process (AHP) and preference ranking organisation method for enrichment evaluation (PROMETHEE) in 3PL selection. It uses an integrated approach of AHP-PROMTHEE as a selection methodology to select an efficient and requisite 3PL firm for a manufacturer. A relatively new and us...

In this paper we study the multicriteria decision aid (MCDA) methods PROMETHEE and GAIA. The PROMETHEE method provides the decision maker with a ranking. The GAIA method provides a two dimensional representation of the decision problem based on the flows computed by the PROMETHEE method. However, a limit of the GAIA method is the loss of information by its two-dimensional projection which may l...

This paper introduces the interval-PROMETHEE method to the investment decision making of value investing. Five performance criteria are used for measuring the growth potential of firms and are represented by interval numbers based on the real financial data. The interval-PROMETHEE method is applied to rank the 20 randomly selected stocks in Shanghai Stock Exchange. The portfolio with the top 5 ...

[6] A. Valls Mateu, CLUSDM: a multiple criteria decision making method for heterogeneous data sets, Polytechnic University of Catalonia. 2002. [8] B. Roy.Critères multiples et mod´elisation des pr´ef´erences : l'apport des relations de surclassement. Revue d'Economie Politique, 1974. [10] R. Bisdorff. Electre-like clustering from a pairwise fuzzy proximity index. methods for sorting and cluster...