Özet:

nd. Fuzzy situational approach and decision support systems developed on its basis with the use of fuzzy logic are effectively applied for solving the situational modeling problems and decision making. The fuzzy situational networks provide a possibility for solving the dynamic situational modeling problems and making control decisions with taking into consideration special features of the situations and possible time constraints. Objective. The main goal of the study is development and investigation of the fuzzy situational networks with time constraints aiming to solving the problems of complex dynamic systems modeling, and implementation on their basis of decision support systems for solving the problems mentioned. Methods. The special features of the fuzzy situational networks with time constraints development process are considered. In the development of the fuzzy situational networks the time constraints create conditions for the  transitions between situations. The time constraints are usually set in absolute scale. The fuzzy situational systems with time constraints provide a possibility for deeper study of the situations due to increase of the control decisions quantity. Results. The main results of the study are as follows: we proposed the methodology for constructing the fuzzy situational networks and an illustrative example of its application to solving the problem of control for unmanned  aerial vehicles. To develop the fuzzy situational networks with time constraints a special decision support system was developed and tested.Conclusions. The use of the dynamic description for control situations provides a possibility for more detailed description of the structure and content of the system under study as well as to decrease the number of reference satiations due to deeper investigation and increase of control decisions. The use of time parameters in the descriptions increases the effectiveness of fuzzy situational networks as an instrument for situational simulation.

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