Tvoroshenko I. Methods and models for rapid estimation of complex objects states applying fuzzy logic

Object of research - the operational estimation of complex objects states. The purpose of the study - to develop methods and model which operate under conditions of uncertainty of fuzzy states space using fuzzy logic for estimating the states space of complex objects. Our method is based on the methods of computational intelligence. Theoretical and practical results of the combined solution are important scientific and practical problems associated with the operational estimation of the state of complex objects. Scientific novelty: 1) for the first time a method of spatially distributed multi-operational estimation of complex objects states based on the use of fuzzy interval representations is proposed; 2) the fuzzy network model based on fuzzy interval integrated colored Petri nets has been further developed. Unlike existing ones it uses not only the values of membership functions but also their analytical forms; 3) the method of binary search for the task of setting the parameters of membership functions has been further developed. Unlike the existing ones it is based on the definition of the required accuracy of parameters choice for membership functions. The degree of implementation - in hospital (Poltava region) and Kharkiv National University of Radioelectronics. Scope of use - in organizations concerned with the operational state estimation of complex objects, which operate under conditions of uncertainty and severe restrictions on resources.