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Fuzzy financial analyses of demand-side management alternatives

Fuzzy financial analyses of demand-side management alternatives

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Fuzzy financial models are derived for the profitability analyses of demand-side management (DSM) alternatives. The present value of cost and equivalent uniform annual cost models are selected to determine the least-cost solution, while the net present value, payback year and benefit/cost ratio models are proposed for the execution of cost–benefit analyses. The means and variances of the fuzzy financial indexes associated with DSM alternatives are evaluated by Mellin transform in order to determine their relative ranking in a decision-making process. The performance of the proposed models is verified through the simulation of a numerical example and by considering their application to two practical DSM programmes: the choice of a suitable air-conditioning system for an office building and the evaluation of different cogeneration alternatives for a synthetic rubber corporation in Taiwan. These investigations confirm not only that the results of the proposed fuzzy financial models are consistent with those of the conventional crisp models, but they also demonstrate that the proposed methods represent readily implemented possibility analysis tools for use in the arena of uncertain financial decision-making.

References

    1. 1)
      • C. Kahraman , D. Ruan , E. Tolga . Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows. Inf. Sci. , 57 - 76
    2. 2)
      • D. Dubois , H. Prade . (1980) Fuzzy Sets and Systems: Theory and Applications.
    3. 3)
    4. 4)
      • R.R. Yager , M. Detyniecki , B.B. Meunier . A context-dependent method for ordering fuzzy numbers using probabilities. Inf. Sci. , 237 - 255
    5. 5)
    6. 6)
      • Chang, W.: `Ranking of fuzzy utilities with triangular membership function', Proc. Int. Conf. of Policy Anal. and Inf. Systems, 1981, p. 263–272.
    7. 7)
      • L.A. Zadeh . The concepts of a linguistic variable and its application to approximate reasoning, Part1, 2 and 3. Inf. Sci. , 199 - 249
    8. 8)
      • C.E. Dorgan , J.S. Elleson . (1994) Design guide for cool thermal storage.
    9. 9)
    10. 10)
    11. 11)
      • Ward, T.L.: `Discounted fuzzy cash flow analysis', Proc. 1985 Fall Industrial Eng, Conf., Institute of Industrial Engineers, 1985, p. 476–481.
    12. 12)
      • A. Kaufmann , M.M. Gupta . (1988) Fuzzy mathematical models in engineering and management science.
    13. 13)
      • A. Kaufmann , M.M. Gupta . (1985) Introduction to fuzzy arithmetic: theory and applications.
    14. 14)
      • W.C. Giffin . (1975) Transform techniques for probability modeling.
    15. 15)
      • L. Debnath . (1995) Integral transforms and their application.
    16. 16)
    17. 17)
      • M. Kurtz . (1984) Handbook of engineering economics.
    18. 18)
      • C.Y. Chiu , C.S. Park . Fuzzy cash flow analysis using present worth criterion. Eng. Econ. , 113 - 137
    19. 19)
      • R. Jain . Decision-making in the presence of fuzzy variables. IEEE Trans. Syst. Man Cybern. , 698 - 703
    20. 20)
      • S.J. Chen , C.L. Hwang . Fuzzy multiple attribute decision making methods and applications. Lect. Notes Econ. Math. Syst.
    21. 21)
      • C.S. Park . The Mellin transform in probabilistic cash flow modeling. Eng. Econ. , 2 , 115 - 134
    22. 22)
      • D. Dubois , H. Prade . Ranking fuzzy numbers in the setting of possibility theory. Inf. Sci. , 183 - 224
    23. 23)
      • H. Khatib . Financial and economic evaluation of projects, with special reference to the electrical power industry. Power Eng. J. , 1 , 42 - 54
    24. 24)
    25. 25)
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