Abstract
Benefit-cost analysis is a systematic evaluation of the economic advantages (benefits) and disadvantages (costs) of a set of investment alternatives. The objective of a benefit-cost analysis is to translate the effects of an investment into monetary terms and to account for the fact that benefits generally accrue over a long period of time while capital costs are incurred primarily in the initial years. In this chapter, benefit cost ratio (BCR) analysis is analyzed under fuzzy environment. Fuzzy continuous payments and fuzzy discrete payments are summarized briefly and two applications are illustrated.
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References
Baas, S.M., Kwakernaak, H.: Rating and ranking multiple aspect alternatives using fuzzy sets. Automatica 13, 47–58 (1977)
Blank, L.T., Tarquin, J.A.: Engineering economy, 3rd edn. McGraw-Hill, Inc., New York (1989)
Boardman, A.E., Greenberg, D.H., Vining, A.R., Weimer, D.L.: Cost– Benefit Analysis: Concepts and Practices, 2nd edn. Prentice Hall, New Jersey (2001)
Bortolan, G., Degani, R.: A review of some methods for ranking fuzzy subsets. Fuzzy Sets and Systems 15, 1–19 (1985)
Buckley, J.J.: The fuzzy mathematics of finance. Fuzzy Sets and Systems 21, 257–273 (1987)
Chang, W.: Ranking of fuzzy utilities with triangular membership functions. In: Proceedings of the International Conference of Policy Anal. and Inf. Systems, pp. 263–272 (1981)
Chen, S.H.: Ranking fuzzy numbers with maximizing and minimizing set. Fuzzy Sets and Systems 17, 113–129 (1985)
Chiu, C., Park, C.S.: Fuzzy cash flow analysis using present worth criterion. The Engineering Economist 39(2), 113–138 (1994)
Davis, W.S.: Cost/benefit analysis. In: Davis, W.S., Yen, D.C. (eds.) The Information System Consultant’s Handbook: Systems Analysis and Design. CRC Press, Boca Raton (1999)
Dubois, D., Prade, H.: Ranking fuzzy numbers in the setting of possibility theory. Information Sciences 30, 183–224 (1983)
Jain, R.: Decision-making in the presence of fuzzy variables. IEEE Transactions on Systems, Man, and Cybernetics 6, 693–703 (1976)
Kahraman, C., Bozdağ, C.E.: fuzzy investment analyses using capital budgeting and dynamic programming techniques. In: Chen, S.H., Wang, P.P. (eds.) Computational Intelligence in Economics and Finance. Springer, Heidelberg (2003)
Kahraman, C., Ruan, D., Tolga, E.: Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows. Information Sciences 142, 57–76 (2002)
Kahraman, C., Tolga, E.: The effects of fuzzy inflation rate on after-tax rate calculations. In: third Balkan Conference on Operational Research, Thessaloniki, Greece (1995)
Kahraman, C., Tolga, E., Ulukan, Z.: Fuzzy flexibility analysis in automated manufacturing systems. In: Proceedings of INRIA/IEEE Conference on Emerging Technologies and Factory Automation, Paris (1995)
Kaufmann, A., Gupta, M.M.: Fuzzy mathematical models in engineering and management science. Elsevier, Amsterdam (1988)
Kim, K., Park, K.S.: Ranking fuzzy numbers with index of optimism. Fuzzy sets and Systems 35, 143–150 (1990)
Murphy, K., Simon, S.: Using cost benefit analysis for enterprise resource planning project evaluation: a case of including intangibles. In: Van Grembergen, W. (ed.) Information Technology Evaluation Methods and Management, Idea Group, London (2001)
Sheen, J.N.: Fuzzy financial profitability analyses of demand side management alternatives from participant perspective. Information Sciences 169, 329–364 (2005)
Wang, M.J., Liang, G.S.: Benefit/cost analysis using fuzzy concept. The Engineering Economist 40(4), 359–376 (1995)
Ward, T.L.: Discounted fuzzy cash flow analysis. In: Proceedings of 1985 Fall Industrial Engineering Conference, Institute of Industrial Engineers (1985)
Wilhelm, M.R., Parsaei, H.R.: A fuzzy linguistic approach to implementing a strategy for computer integrated manufacturing. Fuzzy Sets and Systems 42, 191–204 (1991)
Yager, R.R.: On choosing between fuzzy subsets. Kybernetes 9, 151–154 (1980)
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Kahraman, C., Kaya, İ. (2008). Fuzzy Benefit/Cost Analysis and Applications. In: Kahraman, C. (eds) Fuzzy Engineering Economics with Applications. Studies in Fuzziness and Soft Computing, vol 233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70810-0_8
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DOI: https://doi.org/10.1007/978-3-540-70810-0_8
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