How to cite this paper
Nosratpour, M., Nazerib, A & Meftahi, H. (2012). Fuzzy net present value for engineering analysis.Management Science Letters , 2(6), 2153-2158.
Refrences
Ho, S.H., & Liao, S.H. (2011). A fuzzy real option approach for investment project valuation. Expert Systems with Applications, 38(12), 15296-15302
Huang, X. (2007). Chance-constrained programming models for capital budgeting with NPV as fuzzy parameters. Journal of Computational and Applied Mathematics, 198(1), 149-159.
Huang, X. (2008). Mean-variance model for fuzzy capital budgeting. Computers & Industrial Engineering, 55(1), 34-47.
Kahraman, C., Tolga, E., & Ulukan, Z. (2000). Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis. International Journal of Production Economics, 66(1), 45-52.
Kahraman, C., Ruan, D., & Tolga, E. (2002). Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows. Information Sciences, 142(1-4), 57-76.
Liao, S.H., & Ho, S.H. (2010). Investment project valuation based on a fuzzy binomial approach. Information Sciences, 180(11), 2124-2133.
Remer, D.S., & Nieto, A.P. (1995). A compendium and comparison of 25 project evaluation techniques. Part 1: Net present value and rate of return methods. International Journal of Production Economics, 42(1), 79-96.
Shahsavar, M., Akhavan Niaki, S.T., & Najafi, A.A. (2010). An efficient genetic algorithm to maximize net present value of project payments under inflation and bonus–penalty policy in resource investment problem. Advances in Engineering Software, 41(7-8), 1023-1030.
Sheen, J.N. (2005). Fuzzy evaluation of cogeneration alternatives in a petrochemical industry. Computers & Mathematics with Applications, 49(5-6), 741-755
Sobel, M.J., Szmerekovsky, J.G., & Tilson, V. (2009). Scheduling projects with stochastic activity duration to maximize expected net present value. European Journal of Operational Research, 198(3), 697-705.
Tsao, C.T. (2012). Fuzzy net present values for capital investments in an uncertain environment. Computers & Operations Research, 39(8), 1885-1892.
Ustundag, A., K?l?nç, M.S., & Cevikcan, E. (2010). Fuzzy rule-based system for the economic analysis of RFID investments. Expert Systems with Applications, 37(7), 5300-5306
Zimmermann, H.J (1996). Fuzzy Set Theory. 3rd ed., Kluwer academic publisher.
Zadeh, A. (1975a). The concept of a linguistic variable and its application to approximate reasoning, part 1. Information Sciences, 8(3), 199–249.
Zadeh, A. (1975b). The concept of a linguistic variable and its application to approximate reasoning, part 2. Information Sciences, 8(4), 301–357.
Zadeh, A. (1975c). The concept of a linguistic variable and its application to approximate reasoning, part 3. Information Sciences, 9(1), 43–58.
Huang, X. (2007). Chance-constrained programming models for capital budgeting with NPV as fuzzy parameters. Journal of Computational and Applied Mathematics, 198(1), 149-159.
Huang, X. (2008). Mean-variance model for fuzzy capital budgeting. Computers & Industrial Engineering, 55(1), 34-47.
Kahraman, C., Tolga, E., & Ulukan, Z. (2000). Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis. International Journal of Production Economics, 66(1), 45-52.
Kahraman, C., Ruan, D., & Tolga, E. (2002). Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows. Information Sciences, 142(1-4), 57-76.
Liao, S.H., & Ho, S.H. (2010). Investment project valuation based on a fuzzy binomial approach. Information Sciences, 180(11), 2124-2133.
Remer, D.S., & Nieto, A.P. (1995). A compendium and comparison of 25 project evaluation techniques. Part 1: Net present value and rate of return methods. International Journal of Production Economics, 42(1), 79-96.
Shahsavar, M., Akhavan Niaki, S.T., & Najafi, A.A. (2010). An efficient genetic algorithm to maximize net present value of project payments under inflation and bonus–penalty policy in resource investment problem. Advances in Engineering Software, 41(7-8), 1023-1030.
Sheen, J.N. (2005). Fuzzy evaluation of cogeneration alternatives in a petrochemical industry. Computers & Mathematics with Applications, 49(5-6), 741-755
Sobel, M.J., Szmerekovsky, J.G., & Tilson, V. (2009). Scheduling projects with stochastic activity duration to maximize expected net present value. European Journal of Operational Research, 198(3), 697-705.
Tsao, C.T. (2012). Fuzzy net present values for capital investments in an uncertain environment. Computers & Operations Research, 39(8), 1885-1892.
Ustundag, A., K?l?nç, M.S., & Cevikcan, E. (2010). Fuzzy rule-based system for the economic analysis of RFID investments. Expert Systems with Applications, 37(7), 5300-5306
Zimmermann, H.J (1996). Fuzzy Set Theory. 3rd ed., Kluwer academic publisher.
Zadeh, A. (1975a). The concept of a linguistic variable and its application to approximate reasoning, part 1. Information Sciences, 8(3), 199–249.
Zadeh, A. (1975b). The concept of a linguistic variable and its application to approximate reasoning, part 2. Information Sciences, 8(4), 301–357.
Zadeh, A. (1975c). The concept of a linguistic variable and its application to approximate reasoning, part 3. Information Sciences, 9(1), 43–58.