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cs.AI2017
Object-Oriented Knowledge Extraction using Universal Exploiters
Dmytro Terletskyi
This paper contains analysis and extension of exploiters-based knowledge extraction methods, which allow generation of new knowledge, based on the basic ones. The main achievement…
cs.AI2016
Fuzzy Object-Oriented Dynamic Networks. II
D. A. Terletskyi, A. I. Provotar
This article generalizes object-oriented dynamic networks to the fuzzy case, which allows one to represent knowledge on objects and classes of objects that are fuzzy by nature and…
cs.AI2016
Fuzzy Object-Oriented Dynamic Networks. I
D. A. Terletskyi, A. I. Provotar
The concepts of fuzzy objects and their classes are described that make it possible to structurally represent knowledge about fuzzy and partially-defined objects and their classes.…