Inventory control as an identification problem based on fuzzy logic

Inventory control as an identification problem based on fuzzy logic

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 ve...

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Veröffentlicht in:Cybernetics and systems analysis 2006-05, Vol.42 (3), p.411-419
Hauptverfasser: Rotshtein, A P, Rakityanskaya, A B
Format: Artikel
Sprache:eng
Schlagworte:
Decision making
Fuzzy logic
Identification
Inventory control
Knowledge
Mathematical programming
Studies
Systems analysis
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Zusammenfassung: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. [PUBLICATION ABSTRACT]
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-006-0078-3