PLANNING AND FORECASTING WITH ROBUST DYNAMIC MODELS
CONSTANTIN V. NEGOITA
(Department of Computer Science, Hunter College, City University of New York, 695 Park Avenue, New York, N.Y. 10021 (USA))
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Abstract
This paper deals with a defuzzification technique for dynamic models formulated with linguistic variables. The theorem of representation is applied in order to obtain a family of crisp models. This technique is particularly suitable for dynamic linear programming models, where the coefficients are fuzzy sets or fuzzy numbers.
Citation
NEGOITA, C.V. (1983), "PLANNING AND FORECASTING WITH ROBUST DYNAMIC MODELS", Kybernetes, Vol. 12 No. 4, pp. 229-233. https://doi.org/10.1108/eb005659
Publisher
:MCB UP Ltd
Copyright © 1983, MCB UP Limited