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Capital Budgeting Techniques Using Discounted Fuzzy Cash Flows

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Soft Computing for Risk Evaluation and Management

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 76))

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 given some numeric examples. 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.

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© 2001 Physica-Verlag Heidelberg

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Kahraman, C. (2001). Capital Budgeting Techniques Using Discounted Fuzzy Cash Flows. In: Ruan, D., Kacprzyk, J., Fedrizzi, M. (eds) Soft Computing for Risk Evaluation and Management. Studies in Fuzziness and Soft Computing, vol 76. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1814-7_19

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  • DOI: https://doi.org/10.1007/978-3-7908-1814-7_19

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-00348-0

  • Online ISBN: 978-3-7908-1814-7

  • eBook Packages: Springer Book Archive

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