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The multi-criteria approach to project selection based on the fuzzy sets theory

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EN
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This paper describes an approach to multi-criteria evaluation of project variants based on the fuzzy set theory. The multi-criteria evaluation based on the criteria proposed by experts or decision-makers in the planning phase, during which it is critical to document the tasks to be completed in a project schedule. Fuzzy sets theory transforms criterion indicators into variants fuzzy partial evaluations by means of transformation functions. The method facilitates comparison of different values by transformation to the fuzzy numbers from the range of „´0, 1„Ä.The presented approach offers support for the decision makers in making various kinds of decisions, in all situations when we may determine an evaluation criteria set. Moreover, it takes into consideration versatility of criteria, their hierarchy and expertsˇŚ uncertainty; at the same time it is efficient and quite simple to be implemented in real decision problems.
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193--203
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Refer. 31 poz.
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Bibliografia
  • Adam E. E., Ebert R. J., (2009), Productions and operations management, Prentice Hall, New Jersey.
  • A Guide to the Project Management Body of Knowledge, (2008), Fourth Edition, PMI, USA.
  • Bard J. F., Balachandra, R., Kaufmann, P. E., (1988), "An interactive approach to R&D project selection and termination", [in:] IEEE Transactions on Engineering Management, Vol. 35(3), pp. 139-146.
  • Belton V., Stewart, T. J., (2002), Multiple criteria decision analysis, Kluwer Academic Publishers, Boston-Dordrecht-London.
  • Breiing A., Knosala R., (1997), Bewerten technischer Systeme, Springer Verlag, Berlin.
  • Fandel G., Spronk J. (Eds.), (1985), Multiple criteria-decision methods and applications. Selected readings of the First International Summer School Acireale, Springer Verlag, Berlin.
  • Figueira J., Greco S., Ehrgott M., (2005), Multiple criteria decision analysis: state of the art surveys, Springer Science & Business Media Inc., New York.
  • Kerzner H., (2004), Advanced project management: best practices on implementation, John Wiley & Sons, New Jersey.
  • Kerzner H., (2009), Project management case studies, John Wiley & Sons, New Jersey.
  • Knosala R., (1989), Methoden zur Bewertung von Bauelementen als Voraussetzung für die Entwicklung von Baukastensystemen. Diss. B. Technische Universität Dresden.
  • Liesiö, J., Mild, P., Salo, A., (2007), "Preference programming for robust portfolio modeling and project selection", [in:] European Journal of Operational Research, Vol. 181, pp. 1488-1505.
  • Lock D., (2009), Project management. Ninth Edition, Gower Publishing Ltd, Hampshire, Great Britain.
  • Łapuńka I., (2010), „Metoda planowania produkcji zespołów maszyn w warunkach zakłóceń", Rozprawa doktorska, Wydział Budowy Maszyn i Informatyki, Akademia Techniczno-Humanistyczna w Bielsku-Białej.
  • Łapuńka I., (2011), "Fuzzy modeling of multi-criteria assessment of project execution schedule", K. Grzybowska, M. Wyrwicka (Eds.), Knowledge Management and Organizational Culture of Global Organization, Publishing House of Poznan University of Technology, Poznan.
  • Mattel J. M., (1999), Multicriterion decision aid: methods and applications, Quebec.
  • Martino J. P., (1995), Research and development project selection, Wiley Series in Engineering & Technology Management, New York.
  • Mavrotas G., Diakoulaki, D., Kourentzis, A., (2008), "Selection among ranked projects under segmentation, policy and logical constraints", [in:] European Journal of Operational Research, Vol. 187, pp. 177-192.
  • Medaglia A. L., Graves, S. B., Ringuest, J. L., (2007), "A multiobjective evolutionary approach for linearly constrained project selection under uncertainty", [in:]European Journal of Operational Research, Vol. 179, pp. 869-894.
  • Munda, G., (2003), "Multicriteria assessment", available at: www.ecoeco.org/publica/encyc.htm (accessed 30 September 2008).
  • Omann I., (2004), Multi-criteria decision aid as an approach for sustainable development analysis and implementation, PhD Dissertation, Karl-Franzens Universität Graz.
  • Piegat A., (1999), Modelowanie i sterowanie rozmyte, Akademicka Oficyna Wydawnicza EXIT, Warszawa.
  • Roy B., (1990), "Decision aid and decision making", C. A. Bana e Costa (Ed.), Readings in Mutiple Criteria Decision Aid, Springer Verlag, Berlin, pp. 17-35.
  • Roy B.,Vanderpotten D., (1996), "The European School of MCDA: emergence, basic features and current works", [in:] Journal of Multi-Criteria Decision Analysis, Vol. 5, pp. 22-38.
  • Saaty T., (1990), "An exposition of the AHP in reply to the paper: remarks on the Analytic Hierarchy Process", [in:] Management Science, Vol. 36, No. 3, pp. 259-268.
  • Sauer J., (1999), "Knowledge-based systems techniques and applications in scheduling", T. L. Leondes (Ed.), Knowledge-based systems techniques and applications, Academic Press, San Diego.
  • Shakhsi-Niaei M., Torabi S. A., Iranmanesh S. H., (2011), "A comprehensive framework for project selection problem under uncertainty and real-world constraints", [in:] Computers & Industrial Engineering, Vol. 61, pp. 226-237.
  • Shenhar A. J., Wideman R. M., (1997), Toward a fundamental differentiation between project, PICMET, New Jersey.
  • Trocki M., Grucza B., Ogonek K., (2003), Zarządzanie projektami, PWE, Warszawa.
  • Vincke P, (1992), Multicriteria decision aid, John Wiley & Sons, New York.
  • Wang, J., Xu, Y., Li, Z., (2009), "Research on project selection system of preevaluation of engineering design project bidding", [in:] International Journal of Project Management, Vol. 27, pp. 584-599.
  • Week M., Klocke F., Schell H., Rüenauver E., (1997), "Evaluating alternative production cycles using the extended fuzzy AHP method", [in:] European Journal of Operational Research, Vol. 100, Issue 2, pp. 351-366.
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bwmeta1.element.baztech-article-BPP2-0019-0026
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