Multicriteria aiding of decision - makers in the process of selecting projects applying for cofinancing from the European Union

• Autorzy: Górecka D.
• Języki publikacji: EN

Abstrakty

EN

Since the enlargement of the European Union in 2004 Poland has got a great opportunity to benefit from the European Union structural funds intended for supporting restructuring and modernisation of the weaker regions of EU member countries. One of the conditions of not missing this opportunity is rational allocation of the financial means provided by the funds that depends among others on proper choice of projects that are going to be co-financed. In order to aid the decision-makers in this important and difficult task the multiple criteria analysis techniques can be applied, especially these ones based on the outranking relation. As the empirical example of above-mentioned problem the application of stochastic dominance rules and multicriteria methods from ELECTRE and PROMETHEE families to selecting projects applying for co-financing from the European Regional Development Fund and reported on Measure 1.2 Environmental protection infrastructure is going to be presented1.

Słowa kluczowe

EN

multicriteria analysis; European Union structural funds; stochastic dominance; ELECTRE; PROMETHEE

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2008
• Tom: Vol. 33, No. 1
• Strony: 25--42
• Opis fizyczny: Bibliogr. 31 poz.

Twórcy

autor

Górecka D.

• M.A., Ph.D. student, The Faculty of Economic Sciences and Management, Nicolaus Copernicus University in Toruń, address: Gagarina 13A, 87-100 Toruń,

Bibliografia

• [1]Bawa V.S., Stochastic dominance: A research bibliography, Management Science, 28, 1982,698-712.
• [2]Brans J.P., Vincke Ph., A Preference Ranking Organization Method: The PROMETHEE Method for Multiple Criteria Decision-Making, Management Science,31,6, 1985,647-656.
• [3]Brans J.P., Vincke Ph., Mareschal B., How to select and how to rank projects: The PROMETHEE method, European Journal of Operational Research, 24, 2, 1986, 228-238.
• [4]Goovaerts M.J., De Vylder F.E., Haezendonck F., Insurance Premiums, North-Holland, Amsterdam, 1984.
• [5]Growing regions, growing Europe, Fourth report on economic and social cohesion, Communication from the Commission, May 2007, 7.
• [6]Hadar J., Russel W.R., Rules for ordering uncertain prospects, The American Economic Review, 59, 1969, 25-34.
• [7]Hanoch G., Levy H., The efficiency analysis of choices involving risk, Review of Economic Studies, 36, 1969, 335-346.
• [8]Integrated Regional Operational Programme 2004-2006 (Annex to the Regulation of Minister of Economy and Labour of 1 July 2004), J. L., No 166, item 1745.
• [9]IROP Programme Complement (Annex to the Regulation of Minister of Economy and Labour of 25 August 2004 regarding Introduction of Programme Complement to Integrated Regional Operational Programme), J. L., No 200, item 2051 with later changes.
• [10]Kahneman D., Tversky A., Prospect theory: An analysis of decision under risk, Econometrica, 47, 1979, 263-291.
• [11]Keeney R.L., Raiffa H., Decisions with Multiple Objectives: Preferences and Value Tradeoffs, Wiley, New York, 1976.
• [12]Levy H., Stochastic dominance and expected utility: Survey and analysis, Management Science, 38, 1992, 555-593.
• [13]Manual of Procedures for the Implementation of the Integrated Regional Operational Programme (Polish), The Ministry of Economy and Labour, Warsaw, 2004, 39-62.
• [14]Martel J.M., Multicriterion Analysis Under Uncertainty: the Approach of Outranking Synthesis, in: T. Trzaskalik (ed.), Preferences’ Modelling and Risk ‘98 (Polish), Karol Adamiecki University of Economics in Katowice, Katowice, 1998, 15-17.
• [15]Martel J.M., Azondekon S.H., Zaras K., Preference relations in multicriterion analysis under risk, Belgian Journal of Operations Research, Statistics and Computer Science,31, 1992,55-83.
• [16]Martel J.M., Zaras K., Dominance stochastique en analyse multicritere face au risque, Cahier No. 100, Laboratoire d’Analyse et Modelisation de Systems pour l’Aide a la Decision, Universite Paris - Dauphine, Paris, 1990.
• [17]Martel J.M., Zaras K., Stochastic dominance in multicriteria analysis under risk, Theory and Decision, 39, 1995, 31 -49.
• [18]Nowak M., Investment projects evaluation by simulation and multiple criteria decision aiding procedure, Journal of Civil Engineering and Management, 11, 3, 2005, 193-202.
• [19]Nowak M., Preference and veto thresholds in multicriteria analysis based on stochastic dominance, European Journal of Operational Research, 158, 2, 2004, 339-350.
• [20]Rothschild M., Stiglitz J.E., Increasing risk: I. A definition, Journal of Economic Theory, 2, 1970,225-243.
• [21]Roy B., Multicriteria decision aiding (Polish), WNT, Warsaw, 1990.
• [22]Roy B., Bouyssou D., Aide Multicritere a la Decision: Methodes et Cas, Economica, Paris, 1993.
• [23]Saaty T.L., The Analytic Hierarchy Process, McGraw-Hill, New York, 1980.
• [24]Spector Y., Leshno M., Horin M., Stochastic dominance in an ordinal world, European Journal of Operational Research, 93, 1996, 620-627.
• [25]Trzaskalik T. (ed), Multicriteria methods on the Polish Financial Market (Polish), PWE, Warsaw, 2006, 51-55, 71-86.
• [26]Trzaskalik T., Trzpiot G., Zaras K., Preferences’ Modelling with the Use of Stochastic Dominance (Polish), Karol Adamiecki University of Economics in Katowice, Katowice, 1998, 8.
• [27]Whitmore G.A., Third-degree stochastic dominance, The American Economic Review,60, 1970,457-459.
• [28]Zaraś K., Dominances stochastiques pour deux classes de fonctions d’utilite: Concaves et convexes, RO/OR, Recherche Operationnelle, 23, 1989, 57-65.
• [29]Zaraś K., Martel J.M., Multiattribute analysis based on stochastic dominance, in: Munier B., Machina M.J. (eds.), Models and Experiments in Risk and Rationality,Kluwer Academic Publishers, Dordrecht, 1994, 225-248.
• [30]www.ec.europa.eu/eurostat
• [31]www.ec.europa.eu/regional_policy/index_en.htm