Cybernetics and Systems Analysis

, Volume 42, Issue 3, pp 411–419 | Cite as

Inventory control as an identification problem based on fuzzy logic

  • A. P. Rotshtein
  • A. B. Rakityanskaya


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.


inventory control fuzzy knowledge bases fuzzy knowledge bases training 


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Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  • A. P. Rotshtein
    • 1
  • A. B. Rakityanskaya
    • 2
  1. 1.Jerusalem College of TechnologyMachon LevIsrael
  2. 2.Vinnitsa National Technical UniversityVinnitsaUkraine

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