Fuzzy Object-Oriented Dynamic Networks. II

TL;DR

This paper extends object-oriented dynamic networks to fuzzy environments, enabling representation and modeling of inherently fuzzy objects and their temporal changes, with a novel knowledge acquisition mechanism demonstrated through a concrete example.

Contribution

It introduces a generalized fuzzy object-oriented dynamic network framework with a new knowledge acquisition method, differing from existing models.

Findings

Successfully models fuzzy objects and classes

Provides a mechanism for learning new knowledge

Demonstrates application with a concrete example

Abstract

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 also to model their changes in time. Within the framework of the approach described, a mechanism is proposed that makes it possible to acquire new knowledge on the basis of basic knowledge and considerably differs from well-known methods used in existing models of knowledge representation. The approach is illustrated by an example of construction of a concrete fuzzy object-oriented dynamic network.