Fuzzy global sensitivity analysis of fuzzy net present value

• Autorzy: Sari I. D. , Kuchta D.
• Języki publikacji: EN

Abstrakty

EN

The cash flows of an investment project are influenced by several factors. All the factors influencing fuzzy net present value of a project should be taken into account, together with their variability, in order to analyze the whole project, and to make the best decisions during the project’s life. In this paper a fuzzy global sensitivity analysis method is proposed for fuzzy net present value to determine the influences of the factors on the worth of an investment project. The results of the proposed method for an application are also interpreted.

Słowa kluczowe

EN

fuzzy sensitivity analysis; fuzzy net present value

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2012
• Tom: Vol. 41, no. 2
• Strony: 481--496
• Opis fizyczny: Bibliogr. 18 poz.

Twórcy

autor

Sari I. D.

autor

Kuchta D.

• Istanbul Technical University, Department of Industrial Engineering Macka, Istanbul, 34367, Turkey,

Bibliografia

• Borgonovo, E., Gatti, S., Peccati, L. (2010) What drives value creation in investment Project? An application of sensitivity analysis to Project finance transactions. European Journal of Operational Research, 205,1, 227-236.
• Borgonovo,E., Peccati, L. (2004) Sensitivity analysis in investment Project evaluation. International Journal of Production Economics, 90,1, 17-25.
• Borgonovo, E., Peccati, L. (2006) Uncertainty and global sensitivity analysis in the evaluation of investment projects. International Journal of Production Economics, 104,1, 62-73.
• Carlsson, C. and Fuller, R. (2001) On possibilistic mean value and ariance of fuzzy numbers. Fuzzy Sets and Systems, 122, 315-326.
• Chen, S.J., Hwang, C.L., Hwang,F.P. (1992) Fuzzy Multiple Attribute Decision Making: Methods and Applications. Springer, Berlin.
• Dubois, D., Prade, H. (1978) Operations on fuzzy numbers. International Journal of Systems Science, 9, 613-626.
• Haahtela, T.J. (2010) Regression sensitivity analysis for cash flow simulation based real option valuation. Procedia - Social and Behavioral Sciences, 2,6, 7670-7671.
• Haaker, M.P.R., Verheijen, P.J.T. (2004) Local and Global Sensitivity Analysis for a Reactor Design with Parameter Uncertainty. Chemical Engineering Research and Design, 82,5, 591-598.
• Hanns, M. (2005) Applied Fuzzy Arithmetics. An Introduction with Engineering Applications. Springer.
• Jovanovic, P. (1999) Application of sensitivity analysis in investment Project evaluation under uncertainty and risk. International Journal of Project Management, 17,4, 217-222.
• Klingelhöfer, H.E. (2009) Investments in EOP-technologies and emissions trading - Results from a linear programming approach and sensitivity analysis. European Journal of Operational Research, 196,1, 370-383.
• Ross, T.J. (1995) Fuzzy Logic With Engineering Applications. Mc-Graw Hill.
• Sheen, J.N. (2005) Fuzzy evaluation of cogeneration alternatives in a petrochemical industry. Computers & Mathematics with Applications, 49, 741-755.
• Taylor, R.B., West, T.M. (1992) Development of a spreadsheet-based capital investment model with sensitivity analysis. Computers & Industrial Engineering, 23,1-4, 431-433.
• Uçal Sarı, ˙I. and Kuchta, D. (2011) Multicriteria Evaluation of Fuzzy Net Present Value. In: T. Trzaskalik, ed., Multiple Criteria Decision Making’ 12. Publishing House of the University of Economics in Katowice, Katowice.
• Van Groenendaal,W.J.H. and Kleijnen, J.P.C. (2002) Deterministic versus stochastic sensitivity analysis in investment problems: an environment al case study. European Journal of Operational Research 141(1), 8-20.
• Xu, N., Yu, C.W., Wen, F.S. (2007) Valuation of reactive power suport services based on sensitivity and risk analysis. Electric Power Systems Research, 77,5-6, 646-651.
• Zadeh, L.A. (1965) Fuzzy sets. Information and Control, 8, 338-353.