Fuzzy Financial Profitability Analyses of Demand Side Management Alternatives

This paper derives fuzzy profitability models for the financial evaluation of different demand side management (DSM) alternatives. The present value of cost (PVC) and equivalent uniform annual cost (EUAC) models are selected to determine the least-cost solution, while the net present value (NPV) and benefit/cost ratio (BCR) models are proposed for the execution of cost-benefit analysis. The performance of the proposed models is verified by considering their application to two practical DSM programs in Taiwan. These investigations confirm not only that the results of the proposed fuzzy economic models are consistent with those of the conventional crisp models, but also demonstrate that the proposed methods represent readily implemented possibility analysis tools for use in the arena of uncertain financial decision-making

[1]  G. Bortolan,et al.  A review of some methods for ranking fuzzy subsets , 1985 .

[2]  Didier Dubois,et al.  Ranking fuzzy numbers in the setting of possibility theory , 1983, Inf. Sci..

[3]  Chui-Yu Chiu,et al.  FUZZY CASH FLOW ANALYSIS USING PRESENT WORTH CRITERION , 1994 .

[4]  Walter C. Giffin,et al.  Transform Techniques for Probability Modeling , 1975 .

[5]  A. Kaufmann,et al.  Introduction to fuzzy arithmetic : theory and applications , 1986 .

[6]  Ibrahim Dincer,et al.  On thermal energy storage systems and applications in buildings , 2002 .

[7]  Chao-Shun Chen,et al.  Cost benefit of a cooling energy storage system , 1993 .

[8]  Didier Dubois,et al.  Fuzzy sets and systems ' . Theory and applications , 2007 .

[9]  Chan S. Park The Mellin Transform in Probabilistic Cash Flow Modeling , 1986 .

[10]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[11]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[12]  Da Ruan,et al.  Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows , 2002, Inf. Sci..

[13]  J. N. Sheen,et al.  Fuzzy evaluation of cogeneration alternatives in a petrochemical industry , 2005 .

[14]  J. Buckley,et al.  Fuzzy Mathematics in Finance , 1987 .

[15]  Madan M. Gupta,et al.  Fuzzy mathematical models in engineering and management science , 1988 .

[16]  Ronald R. Yager,et al.  A context-dependent method for ordering fuzzy numbers using probabilities , 2001, Inf. Sci..

[17]  Marcel Didden,et al.  Demand Side Management in a competitive European market: Who should be responsible for its implementation? , 2003 .

[18]  C. E. Dorgan,et al.  ASHRAE's new design guide for cool thermal storage , 1994 .

[19]  Jyoti K. Parikh,et al.  Integrating demand side options in electric utility planning: a multiobjective approach , 1995 .

[20]  H. Khatib Financial and economic evaluation of projects with special reference to the electrical power industry , 1996 .

[21]  H. Kunzi,et al.  Lectu re Notes in Economics and Mathematical Systems , 1975 .

[22]  K. Paul Yoon,et al.  A probabilistic approach to rank complex fuzzy numbers , 1996, Fuzzy Sets Syst..

[23]  Caroline M. Eastman,et al.  Review: Introduction to fuzzy arithmetic: Theory and applications : Arnold Kaufmann and Madan M. Gupta, Van Nostrand Reinhold, New York, 1985 , 1987, Int. J. Approx. Reason..