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Modeling uncertainty in weight restriction data envelopment analysis using fuzzy sets.

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Warianty tytułu
PL
Modelowanie niepewności w modelach analizy efektywności jednostek z ograniczonymi wagami z zastosowaniem zbiorów rozmytych.
Konferencja
Metody i narzędzia finansowej oceny przedsiębiorstwa i zarządzania. Wrocław 2007
Języki publikacji
EN
Abstrakty
EN
The weight restriction DEA models impose upper and lower bounds on the input/output weights or on the ratios of these weights. Many of these models suffer from the limitation that the weight bound values can be imprecise and subjective. We propose a fuzzy set theoretic approach to account for this imprecision and subjectivity. This involves replacing the bound values by fuzzy numbers that capture the intuitive concept of approximate numbers. Based on this notion, the crisp weight restriction DEA models become fuzzy weight restriction DEA formulations that are unsymmetrical in nature since their objective function is crisp and their constraints are fuzzy. Among the numerous types of weight restriction DEA models, we focus on one of the more commonly used models, i.e., the Assurance Region (AR) model. We show that the fuzzy version of the model can be reformulated in the form of a classical linear programming problem, which can be solved by means of classical methods.
PL
Zaproponowano sposób modelowania niepewności w modelach, które są stosowane do analizy efektywności jednostek i w których wagi nałożone na poszczególne wejścia i wyjścia są nieprecyzyjne. Wagi te zostały wyrażone jako liczby rozmyte. Pokazano, że model z wagami rozmytymi może być sprowadzony do klasycznego zadania programowania liniowego. Dzięki temu jednostki mogą być poddane ocenie i odpowiednie decyzje mogą być podjęte również w przypadku, kiedy waga poszczególnych wejść i wyjść nie jest jednoznacznie określona, bo np. nie ma co do niej consensusu lub zależy ona od warunków rynkowych.
Twórcy
autor
autor
  • Institute of Industrial Engineering and Management, Wroclaw University of Technology, ul. Smoluchowskiego 25, 50-370 Wroclaw, Poland.
Bibliografia
  • [1] ALLEN R., ATHANASSOPOULOS A., DYSON R.G., THANASSOULIS E., Weights Restrictions and Value Judgments in Data Envelopment Analysis: Evolution, Development, and Future Directions, Annals of Operations Research. Vol. 73, 1997, pp. 13-34.
  • [2] BORTOLAN G., DEGANI R., A review of some methods for ranking fuzzy numbers, in: Fuzzy sets for intelligent systems, Dubois D., Prade H., Yager R.R. (ed.), Morgan Kaufmann Publishers, San Mateo, 1993, 149-158.
  • [3] CHARNES A., COOPER W.W., RHODES E., Measuring the Efficiency of Decision Making Units, European Journal of Operations Research, Vol. 2, 1978, pp. 429-444.
  • [4] CHILINGERIAN J.A., SHERMAN H.D., DEA and Primary Care Physician Report Cards: Deriving Preferred Practice Cones from Managed Care Service Concepts and Operating Strategies, Annals of Operations Research. Vol. 73, 1997, pp. 35-66.
  • [5] DYSON R.G., THANASSOULIS E., Reducing Weight Flexibility in Data Envelopment Analysis, Journal of Operational Research Society. Vol. 39, No. 6, 1988, pp. 563-576.
  • [6] PEDRAJA C.F., J. SALINAS J., SMITH P., On the Role of Weight Restrictions in Data Envelopment Analysis, Journal of Productivity Analysis. Vol. 8, 1997, pp. 215-230.
  • [7] ROLL Y., COOK W.D., GOLANY B., Controlling Factor Weights in Data Envelopment Analysis. HE Transactions. Vol. 23, No. 1. 1991. pp. 2-9.
  • [8] SCHAFFNIT C., ROSEN D., PARADI J.C., Best Practice Analysis of Bank Branches: An Application of DEA in a Large Canadian Bank, European Journal of Operational Research, Vol. 98. No. 2. 1997, pp. 269-289.
  • [9] TAYLOR W.M., THOMPSON R.G., THRALL R.M., and P.S. DHARMAPALA. DEA/AR Efficiency and Profitability of Mexican Banks: A total Income Model, European Journal of Operational Research. Vol. 98. 1997. pp. 346-363.
  • [10] THOMPSON R.G., LEE E., THRALL R.M., DEA/AR-Efficiency of U.S. Independent Oil/Gas Producers Over Time. Computers Operations Research. Vol. 19. No. 5. 1992. pp. 377-391.
  • [11] THOMPSON R.G., SINGLETON F.D. JR., THRALL R.M., SMITH B.A., Comparative Site Evaluations for Locating a High-Energy Physics Lab in Texas. INTERFACES, Vol. 16. No. 6. 1986, pp. 35-49.
  • [12] THOMPSON R.G., LANGEMEIER L.N., LEE C.T., LEE E., THRALL R.M., The Role of Multiplier Bounds in Efficiency Analysis with Application to Kansas Farming. Journal of Econometrics. Vol. 46, 1990. pp. 93-108.
  • [13] THOMPSON R.G., DHARMAPALA P.S., GATEWOOD E.J., MACY S., THRALL R.M., DEA/Assurance Region SDBC Efficiency and Unique Projections, OR Practice. Vol. 44, No. 4. 1996, pp. 533-542.
  • [14] THOMPSON R.G., DHARMAPALA P.S., ROTHENBERG L.J., THRALL R.M., DEA/AR Efficiency and Profitability of 14 Major Oil Companies in U.S. Exploration and Production, Computers Operations Research. Vol. 23, No. 4. 1996, pp. 357-373.
  • [15] THOMPSON R.G., DHARMAPALA P.S., HUMPHREY D.B., TAYLOR W.M., THRALL R.M., Computing DEA/AR Efficiency and Profit Ratio Measures with an Illustrative Bank Application, Annals of Operations Research. Vol. 68, 1996, pp. 303-327.
  • [16] WONG Y.- H.B., BEASLEY J.E., Restricting Weight Flexibility in Data Envelopment Analysis, Journal of the Operational Research Society, Vol. 41, No. 9, 1990, pp. 829-835.
  • [17] ZADEH L.A., Fuzzy Sets & Systems, In: Fox, J., ed., System Theory, Brooklyn, NY: Polytechnic Press, 1972, pp. 29-37.
  • [18] ZHU J., DEA/AR Analysis of the 1988-1989 Performance of the Nanjing Textiles Corporation, Annals of Operations Research, Vol. 66, 1996, pp. 311-335.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW6-0008-0002
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