MODEL DESIGN OF FUZZY LOGICAL SYSTEM OF THE SPACECRAFT CLASSIFICATION IN THE PROCESS OF SPACE SITUATION ANALYSYS

Abstract

One of the stages of the space situation analysis is the classification of spacecraft. Existing approaches to solving this problem do not fully take into account the peculiarities of spacecraft features and classify them partially, only by individual features. Therefore, in order to implement an integrated approach to solving this problem, the possibility of using the fuzzy logic apparatus is considered and the main stages of the task are determined using the theory of fuzzy sets. At the initial stages, features that allow spacecraft to be classified are identified. They are obtained from the analysis of a priori and a posteriori information in numerical, categorical or linguistic form. Subsequently, linguistic variables are defined, their terms for those features that can be provided in linguistic form are defined, and their membership functions of fuzzy sets are constructed. The next steps is to form a base of fuzzy production rules for a fuzzy logic system for classifying spacecraft in the process of the space situation analysis, which is the basis for developing an algorithm and software for its implementation. Further steps in solving the problem of spacecraft classification based on fuzzy logic are outlined. They consist of: finding the degrees of truth of the simplest statements for given values of input parameters; calculating the truth of the preconditions of the rules; determining the membership functions of each conclusion for a common linguistic variable; combining the membership functions by constructing their maximum; obtaining a specific value of the output variable. The proposed approach can be used to solve the problem of complex spacecraft classification, taking into account most of the heterogeneous features. Keywords: spacecraft classification; classification features; linguistic variables; membership function; fuzzy production rule.