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Applications of Fuzzy Capital Budgeting Techniques

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Fuzzy Applications in Industrial Engineering

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 201))

Abstract

In an uncertain economic decision environment, an expert’s knowledge about dicounting cash flows consists of a lot of vagueness instead of randomness. Cash amounts and interest rates are usually estimated by using educated guesses based on expected values or other statistical techniques to obtain them. Fuzzy numbers can capture the difficulties in estimating these parameters. In this chapter, the formulas for the analyses of fuzzy present value, fuzzy equivalent uniform annual value, fuzzy future value, fuzzy benefit-cost ratio, and fuzzy payback period are developed and some numeric examples are given. Then the examined cash flows are expanded to geometric and trigonometric cash flows and using these cash flows fuzzy present value, fuzzy future value, and fuzzy annual value formulas are developed for both discrete compounding and continuous compounding. Finally, a fuzzy versus stochastic investment analysis is examined by using the probability of a fuzzy event.

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References

  1. Zadeh, L. A. (1965) Fuzzy Sets, Information and Control, Vol. 8, pp. 338–353.

    Article  MATH  MathSciNet  Google Scholar 

  2. Buckley, J. U. (1987) The Fuzzy Mathematics of Finance, Fuzzy Sets and Systems, Vol. 21, pp. 257–273.

    Article  MATH  MathSciNet  Google Scholar 

  3. Chiu, C.Y., Park, C.S. (1994) Fuzzy Cash Flow Analysis Using Present Worth Criterion, The Engineering Economist, Vol. 39, No. 2, pp. 113–138.

    Google Scholar 

  4. Ward, T.L. (1985) Discounted Fuzzy Cash Flow Analysis, in 1985 Fall Industrial Engineering Conference Proceedings, pp. 476–481.

    Google Scholar 

  5. Blank, L. T., Tarquin, J. A. (1987) Engineering Economy, Third Edition, McGraw-Hill, Inc.

    Google Scholar 

  6. Chang, W.(1981) Ranking of Fuzzy Utilities with Triangular Membership Functions, Proc. Int. Conf. of Policy Anal. and Inf. Systems, pp. 263–272.

    Google Scholar 

  7. Dubois, D., Prade, H. (1983) Ranking Fuzzy Numbers in the Setting of Possibility Theory, Information Sciences, Vol. 30, pp. 183–224.

    Article  MATH  MathSciNet  Google Scholar 

  8. Jain, R. (1976) Decision Making in the Presence of Fuzzy Variables, IEEE Trans. on Systems Man Cybernet, Vol. 6, pp. 698–703.

    Article  MATH  Google Scholar 

  9. Kaufmann, A., Gupta, M. M. (1988) Fuzzy Mathematical Models in Engineering and Management Science, Elsevier Science Publishers B. V.

    Google Scholar 

  10. Yager, R. R. (1980) On Choosing Between Fuzzy Subsets, Kybernetes, Vol. 9, pp. 151–154.

    MATH  Google Scholar 

  11. Kahraman, C., Ulukan, Z. (1997) Continuous Compounding in Capital Budgeting Using Fuzzy Concept, in the Proceedings of 6th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE′97) , Bellaterra-Spain, pp. 1451–1455.

    Google Scholar 

  12. Kahraman,C., Ulukan, Z. (1997) Fuzzy Cash Flows Under Inflation, in the Proceedings of Seventh International Fuzzy Systems Association World Congress (IFSA′97), University of Economics, Prague, Czech Republic, Vol. IV, pp. 104–108.

    Google Scholar 

  13. Zimmermann, H. -J. (1994) Fuzzy Set Theory and Its Applications, Kluwer Academic Publishers.

    Google Scholar 

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Kahraman, C., Gülbay, M., Ulukan, Z. (2006). Applications of Fuzzy Capital Budgeting Techniques. In: Kahraman, C. (eds) Fuzzy Applications in Industrial Engineering. Studies in Fuzziness and Soft Computing, vol 201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33517-X_6

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  • DOI: https://doi.org/10.1007/3-540-33517-X_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33516-0

  • Online ISBN: 978-3-540-33517-7

  • eBook Packages: EngineeringEngineering (R0)

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