How to cite this paper
Khalili, S., Mehrjerdi, Y & Zare, H. (2014). Choosing the best method of depreciating assets and after-tax economic analysis under uncertainty using fuzzy approach.Decision Science Letters , 3(4), 457-466.
Refrences
Ameli, M., Mirzazadeh, A., & Shirazi, M. (2013). Entropic Economic Order Quantity Model for Items with Imperfect Quality Considering Constant Rate of Deterioration under Fuzzy Inflationary Conditions. International Journal of Industiral Engineering & Producion Research, 24(1), 91-99.
Asady, B. (2010). The revised method of ranking LR fuzzy number based on deviation degree. Expert Systems with Applications, 37(7), 5056-5060.
Asady, B, & Zendehnam, A. (2007). Ranking fuzzy numbers by distance minimization. Applied Mathematical Modelling, 31(11), 2589-2598.
Berg, M., & Moore, G. (1989). The Choice of Depreciation Method under Uncertainty. Decision Sciences, 20(4), 643-654.
Berg, M., Waegenaere, A. D., & Wielhouwer, J. L. (2001). Optimal tax depreciation with uncertain future cash-flows. European Journal of Operational Research, 132(1), 197-209.
Blank, L. T., & Tarquin, A. J. (2008). Basics of engineering economy. McGraw-Hill Higher-Education.
Buckley, J. (2004). Fuzzy probabilities and fuzzy sets for web planning: Springer Verlag.
Chang, P. T., Huang, L. C., & Lin, H. J. (2000). The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources. Fuzzy Sets and Systems, 112(3), 511-520.
Cheng, C.-H. (1998). A new approach for ranking fuzzy numbers by distance method. Fuzzy sets and systems, 95(3), 307-317.
Chiu, C.-Y., & Park, C. (1994). Fuzzy cash flow analysis using present worth criterion. The Engineering Economist, 39(2), 113-138.
Chu, T.C., & Tsao, C.T. (2002). Ranking fuzzy numbers with an area between the centroid point and original point. Computers & Mathematics with Applications, 43(1), 111-117.
Davidson, S., & Drake, D. F. (1961). Capital Budgeting and the “Best” Tax Depreciation Method. The Journal of Business, 34(4), 442-452.
Davidson, S., & Drake, D. F. (1964). The “Best” tax depreciation method. The Journal of Business, 37(3), 258-260.
Huang, X. (2008). Mean-variance model for fuzzy capital budgeting. Computers & Industrial Engineering, 55(1), 34-47.
Jackson, S. B., Liu, X., & Cecchini, M. (2009). Economic consequences of firms’ depreciation method choice: Evidence from capital investments. Journal of Accounting and Economics, 48(1), 54-68.
Kahraman, C. (2001). Fuzzy versus probabilistic benefit/cost ratio analysis for public works projekts. Applied Mathematics and Computer Science, 11(3), 705-718.
Kahraman, C., & Kaya, ?. (2008). Depreciation and income tax Considerations under Fuzziness. In C. Kahraman (Ed.), Fuzzy Engineering Economics with Applications (Vol. 233, pp. 159-171): Springer Berlin Heidelberg.
Kahraman, C., Ruan, D., & Tolga, E. (2002). Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows. Information Sciences,142(1), 57-76.
Lee, E. S., & Li, R. J. (1988). Comparison of fuzzy numbers based on the probability measure of fuzzy events. Computers & Mathematics with Applications, 15(10), 887-896.
Moradi, B., Shakeri, H., & NamdarZangeneh, S. (2012). Solving the paradox of multiple IRR & apos; s in engineering economic problems by choosing an optimal-cut. International Journal of Industiral Engineering & Producion Research, 23(1), 45-52.
Nejad, A. M., & Mashinchi, M. (2011). Ranking fuzzy numbers based on the areas on the left and the right sides of fuzzy number. Computers & Mathematics with Applications, 61(2), 431-442.
Roemmich, R., Duke, G.L., & Gates, W.H. (1978). Maximizing the present value of tax savings from depreciation. Management Accounting, 56, 55-57.
Shahriari, M. (2011). Mapping fuzzy approach in engineering economics. International Research Journal of Finance and Economics(81), 6-12.
Wakeman, L. M. (1980). Optimal tax depreciation. Journal of Accounting and Economics, 2(3), 213-237.
Wang, Y. J., & Lee, H. S. (2008). The revised method of ranking fuzzy numbers with an area between the centroid and original points. Computers & Mathematics with Applications, 55(9), 2033-2042.
Wielhouwer, J. L., Waegenaere, A. D., & Kort, P. M. (2002). Optimal tax depreciation under a progressive tax system. Journal of Economic Dynamics and Control, 27(2), 243-269.
Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1(1), 3-28.
Asady, B. (2010). The revised method of ranking LR fuzzy number based on deviation degree. Expert Systems with Applications, 37(7), 5056-5060.
Asady, B, & Zendehnam, A. (2007). Ranking fuzzy numbers by distance minimization. Applied Mathematical Modelling, 31(11), 2589-2598.
Berg, M., & Moore, G. (1989). The Choice of Depreciation Method under Uncertainty. Decision Sciences, 20(4), 643-654.
Berg, M., Waegenaere, A. D., & Wielhouwer, J. L. (2001). Optimal tax depreciation with uncertain future cash-flows. European Journal of Operational Research, 132(1), 197-209.
Blank, L. T., & Tarquin, A. J. (2008). Basics of engineering economy. McGraw-Hill Higher-Education.
Buckley, J. (2004). Fuzzy probabilities and fuzzy sets for web planning: Springer Verlag.
Chang, P. T., Huang, L. C., & Lin, H. J. (2000). The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources. Fuzzy Sets and Systems, 112(3), 511-520.
Cheng, C.-H. (1998). A new approach for ranking fuzzy numbers by distance method. Fuzzy sets and systems, 95(3), 307-317.
Chiu, C.-Y., & Park, C. (1994). Fuzzy cash flow analysis using present worth criterion. The Engineering Economist, 39(2), 113-138.
Chu, T.C., & Tsao, C.T. (2002). Ranking fuzzy numbers with an area between the centroid point and original point. Computers & Mathematics with Applications, 43(1), 111-117.
Davidson, S., & Drake, D. F. (1961). Capital Budgeting and the “Best” Tax Depreciation Method. The Journal of Business, 34(4), 442-452.
Davidson, S., & Drake, D. F. (1964). The “Best” tax depreciation method. The Journal of Business, 37(3), 258-260.
Huang, X. (2008). Mean-variance model for fuzzy capital budgeting. Computers & Industrial Engineering, 55(1), 34-47.
Jackson, S. B., Liu, X., & Cecchini, M. (2009). Economic consequences of firms’ depreciation method choice: Evidence from capital investments. Journal of Accounting and Economics, 48(1), 54-68.
Kahraman, C. (2001). Fuzzy versus probabilistic benefit/cost ratio analysis for public works projekts. Applied Mathematics and Computer Science, 11(3), 705-718.
Kahraman, C., & Kaya, ?. (2008). Depreciation and income tax Considerations under Fuzziness. In C. Kahraman (Ed.), Fuzzy Engineering Economics with Applications (Vol. 233, pp. 159-171): Springer Berlin Heidelberg.
Kahraman, C., Ruan, D., & Tolga, E. (2002). Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows. Information Sciences,142(1), 57-76.
Lee, E. S., & Li, R. J. (1988). Comparison of fuzzy numbers based on the probability measure of fuzzy events. Computers & Mathematics with Applications, 15(10), 887-896.
Moradi, B., Shakeri, H., & NamdarZangeneh, S. (2012). Solving the paradox of multiple IRR & apos; s in engineering economic problems by choosing an optimal-cut. International Journal of Industiral Engineering & Producion Research, 23(1), 45-52.
Nejad, A. M., & Mashinchi, M. (2011). Ranking fuzzy numbers based on the areas on the left and the right sides of fuzzy number. Computers & Mathematics with Applications, 61(2), 431-442.
Roemmich, R., Duke, G.L., & Gates, W.H. (1978). Maximizing the present value of tax savings from depreciation. Management Accounting, 56, 55-57.
Shahriari, M. (2011). Mapping fuzzy approach in engineering economics. International Research Journal of Finance and Economics(81), 6-12.
Wakeman, L. M. (1980). Optimal tax depreciation. Journal of Accounting and Economics, 2(3), 213-237.
Wang, Y. J., & Lee, H. S. (2008). The revised method of ranking fuzzy numbers with an area between the centroid and original points. Computers & Mathematics with Applications, 55(9), 2033-2042.
Wielhouwer, J. L., Waegenaere, A. D., & Kort, P. M. (2002). Optimal tax depreciation under a progressive tax system. Journal of Economic Dynamics and Control, 27(2), 243-269.
Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1(1), 3-28.