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ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 5. Vol. 31. 2025

DOI: 10.17587/it.31.243-257

P. S. Romanov1, Dr. of Eng. Sc., Professor, ORCID: 0000-0002-9969-3139, I. P. Romanova1,2, Cand. of Eng. Sc., Associate Professor, ORCID: 0000-0001-5883-9907,

1Kolomna Institute (branch) of Moscow Polytechnical University, 140402, Kolomna, Russian Federation,
2Moscow Witte University, 115432, Moscow, Russian Federation

The Method of Classifying Objects by Indistinctly Expressed Features in the Intelligent Control System of the Robot

Received on June 12, 2024

Accepted on August 12, 2024

The article considers the problem of classifying objects according to indistinctly expressed features in the intelligent control system (ICS) of a robot. A method and algorithm for classifying objects with indistinctly expressed features in the intelligent control system of the robot have been developed. It is proposed to solve the problem on the basis of a complex indicator that takes into account both the degrees of belonging of the features of the recognized object to the features of one of the classes of objects, and the weight coefficients of each feature. An improved weighted Mahalanobis distance was chosen as an indicator, taking into account the fuzziness of the features by which objects are classified. The proposed method is considered by the example of solving the problem of classification (sorting) of ceps in the ICS of a mushroom sorter robot. The efficiency of the proposed method is confirmed by the results of a computational experiment. This method can be implemented in the development of software for classifying objects according to indistinctly expressed features when controlling intelligent robots in areas where there is disorganization of the operating environment.
Keywords: classification; ceps; robot; artificial intelligence; intelligent control system; quantitative and qualitative characteristics of an object; Mahalanobis distance; linguistic variables; membership function

P. 243-257

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