The Method of Evaluation for Complex Systems and Processes Based on Ontological and Neuro-Fuzzy Modeling
摘要
Abstract
The paper describes a method for assessing complex systems and processes, which consists of constructing an ontological model of the problem area, forming a precedent model based on it and training a neuro-fuzzy model. Representing knowledge of a problem area in the form of an ontology allows formalizing problems solved by complex systems with respect to which a database of precedents can be formed. Precedents can serve as a training sample for evaluation models for which a neuro-fuzzy classifier was used.