Krasnokutskyy D. Methods and network models based on fuzzy logic for the analysis of statuses of complex plants states

This work is dedicated to the creation of new techniques and network mathematical model based on fuzzy logic for analysis and assessment of complex processes which are hierarchical in the plural relationships "condition-action". New scientific results are achieved which have advantages over exicting solutions. For the first time there are solutions proposed for fuzzy processes which interact on the set of "condition - action", network models of state space analysis of complex plants, which use a hierarchy of extended color integrated fuzzy Petri nets, synchronization resources on the basis of color inhibitorial arcs, control gears of between-level-sensitive direct links and backward steps. To address the complex set of tasks there is for the first time proposed method of analysis of state space and the properties of reachability and consistency in the interaction of fuzzy hierarchical processes. This method includes the direct and inverse step focused analysis of fuzzy state space and the structure of the model with the criteria of reachability and consistency. The method of analyzing the states space in the interaction processes in the problem of the choice alternatives of complex plants has further developed, which differs from the existing in creation of additional components that reflect the hierarchy, the spatial characteristics and the synchronization for the fuzzy dynamic plants. Applying this methods could improve the accuracy of the decisions that are taken to reduce the cost of resources in practical problems solving. A structure and function of tools assessing the technical state of complex objects is offered.