Fuzzy Rule-based System for Pattern Recognition and Automated Classification
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004.925 (3)
Прикладные информационные (компьютерные) технологии. Методы основанные на применении компьютеров (438)
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RUSU, Mariana, ZBANCIOC, Marius-Dan. Fuzzy Rule-based System for Pattern Recognition and Automated Classification. In: Computer Science Journal of Moldova, 2017, nr. 1(73), pp. 88-107. ISSN 1561-4042.
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Computer Science Journal of Moldova
Numărul 1(73) / 2017 / ISSN 1561-4042 /ISSNe 2587-4330

Fuzzy Rule-based System for Pattern Recognition and Automated Classification
CZU: 004.925

Pag. 88-107

Rusu Mariana1, Zbancioc Marius-Dan2
 
1 Technical University of Moldova,
2 Gheorghe Asachi Technical University of Iasi
 
 
Disponibil în IBN: 7 martie 2017


Rezumat

The sorting method contains a fuzzy system that classifies waste into three classes: dangerous (toxic, flammable, harmful to the environment), recyclable and undetermined. To increase the decision weight since some waste is perilous (eg. batteries, spray bottle under pressure, oil drums, etc.), we implement a shapesignature identification algorithm.The extraction of objects contour in order to obtain the signature is done with contour tracking algorithm. The appropriate determination of contour also enables efficient calculation of shape and size features used in fuzzy system. The elaborated system aims to detect dangerous wastes that arrive among the recyclable waste because of people ignorance.

Cuvinte-cheie
Automated sorting, border tracing algorithm, shape-signature identification,

fuzzy system