DEVELOPMENT OF AN ALGORITHM FOR INTERPRETATION OF INPUT PARAMETERS BY A DISCRETE FUNCTION OF FUZZY SET MEMBERSHIP FOR REAL TIME SYSTEMS
The purpose of the research work is to develop an algorithm for interpreting input variables by a discrete membership function of a fuzzy set for embedded and real time systems. To achieve the goal set in the scientific work, the following tasks are solved: the study of fuzzy logical inference in automatic control systems: analysis of the construction of a fuzzy set, representation of a discrete platoon value; development of an algorithm and software implementation for real time systems. Methods for setting input variables for fuzzy logic systems are considered, an algorithmic implementation of the representation of the input value as an element of a fuzzy set and automatic calculation of the membership function are proposed.