Intuitionistic Fuzzy Generalized Net Model Describing the Process of Training of Intuitionistic Fuzzy Generalized Net Models

摘要

The concept of Intuitionistic Fuzzy Generalized Net (IFGN) is defined in [1] as an extension of the ordinary Generalized Net (GN) [2]. The aim of this paper is to describe how IFGN models can be trained until a specified level of correctness is reached. This process of training is represented also by means of IFGNs.