Abstract
In uncertain environment and forecasting the use of fuzzy numbers is a realistic way to know the effects of non measurables hypothesis. An extension to Zero Base Budgeting Method is shown using triangular fuzzy numbers ; it is also a progress for the realism of this very well known and now classical method to select investments. Fuzzy exponential smoothing concerns short range forecasting and analysis of sequence of numerical data. Practically, for novel equipments, and it is quite often the case, it is very difficult and sometimes impossible to know the survival functionas probability law ; a parallel theory using fuzzy subsets and possibility is then very useful. For long range forecasting, the method Delphi from RAND Corp. is one of the most efficient, we present a variant using triangular fuzzy number and analysis by maximal sub-relations of similarity.
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Short Bibliography
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© 1986 D. Reidel Publishing Company
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Kaufmann, A. (1986). Fuzzy Subsets Applications in O.R. and Management. In: Jones, A., Kaufmann, A., Zimmermann, HJ. (eds) Fuzzy Sets Theory and Applications. NATO ASI Series, vol 177. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4682-8_13
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DOI: https://doi.org/10.1007/978-94-009-4682-8_13
Publisher Name: Springer, Dordrecht
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