Inventory control as an identification problem based on fuzzy logic |
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Authors: | A P Rotshtein A B Rakityanskaya |
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Affiliation: | (1) Jerusalem College of Technology, Machon Lev, Israel;(2) Vinnitsa National Technical University, Vinnitsa, Ukraine |
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Abstract: | An approach is proposed to solving inventory control problems using information available on current demand and stock. The
approach is based on identification of nonlinear dependences using fuzzy knowledge bases. By tuning a fuzzy model against
a learning sample, model control actions can be made very close to an expert’s decision. This approach can further be developed
by creating adaptive (neuro-fuzzy) inventory control models for enterprises and trading companies.
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Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 123–133, May–June 2006. |
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Keywords: | inventory control fuzzy knowledge bases fuzzy knowledge bases training |
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