Аннотация:
The object of the research is assessment of object with different degrees of embedded-ness. The subject of the research is the pro-cess of assessing the state of objects using the apparatus of neuro-fuzzy expert systems, the apparatus of relational analysis and bio-inspired algorithms. The problem that is solved in the research is to increase the reli-ability of the assessment of the objects state, regardless of the number of attachments. The originality of the research is that:– possibility of increasing the reliabili-ty of the object state assessment due to the pa rallel use of two bio-inspired algorithms;– taking into account the degree of awareness of the object state, due to the application of correction coefficients for the degree of awareness;– construction of both object and rela-tional models, which allows to increase the reliability of assessment of the objects state;– possibility of combining the results of the work of bio-inspired algorithms, which makes it possible to mutually verify the correctness of the work of each of the algorithms;– universality of solving the task of assessing the state of objects with different degrees due to the hierarchical nature of their description;– possibility of simultaneously search-ing for a solution in different directions;– adequacy of the obtained results.An example of the use of the proposed method is presented on the example of solv-ing the task of determining the composition of an operational group of troops (forces) and elements of its operational construction. The specified example showed an increase in the reliability of the assessment of the objects state by an average of 20 % due to the use of additional improved procedures.It is advisable to use the proposed me-thod to solve the problems of assessing the state of multidimensional objects in condi-tions of uncertainty and risks, which are characterized by high requirements for the reliability of the information obtained
