A generalized net-based machine learning model of an intuitionistic fuzzy abstract system
Hristo Aladjov, Krassimir Todorov Atanassov, Soon-Ki Kim, Ok-Bae Chang, Yung-Sung Kim · 1999
Atanassov (1997) showed that every abstract (statical, dynamical, stochastic, etc.) system in the sense of the general abstract systems theory given by Mesarovic et al. (1975, 1989) can be represented by a generalized net (GN). The intuitionistic fuzzy systems (IFSy) described by Atanassov (1994) as a generalization of the concept of system can also be represented by a GN. The main idea of this paper is that every IFSy can be generalized to system capable of self-modification (training).