ANALYSIS OF CONSISTENCY OF SIMILARITY PREDICATES TO MEASURES OF SIMILARITY AND ADVANTAGES OF THEIR APPLICATION IN DIGITAL SYSTEMS FOR SOLVING INTELLECTUAL PROBLEMS

Authors

Makhmudjon Abdullaev, Tashkent State Technical University Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan E-mail: mm.abdullaev@yandex.ru, Phone: +998 90-187-01-73Follow
Nodira Batirdjanovna Alimova, Tashkent State Technical University Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan

Abstract

The results of the analysis of the correspondence of similarity predicates to similarity measures used in various metric methods used for signal classification and the feasibility of using similarity predicates in the construction of digital systems for solving intellectual problems, for which the simplification of computational operations is of no small importance, are presented. Some general and distinctive features of the similarity predicate are considered in comparison with the euclidean metric in relation to one-dimensional and two-dimensional spaces, and generalized to the case of n-dimensional metric spaces. The expediency of using methods based on the calculation of similarity predicates, which are more suitable for classification systems than the well-known metric methods designed for recognizing objects and signals, represented by quantitative features, has been substantiated.

First Page

58

Last Page

67

References

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Recommended Citation

Abdullaev, Makhmudjon and Alimova, Nodira Batirdjanovna (2021) "ANALYSIS OF CONSISTENCY OF SIMILARITY PREDICATES TO MEASURES OF SIMILARITY AND ADVANTAGES OF THEIR APPLICATION IN DIGITAL SYSTEMS FOR SOLVING INTELLECTUAL PROBLEMS," Chemical Technology, Control and Management: Vol. 2021: Iss. 1, Article 8.
DOI: https://doi.org/10.34920/2021.1.58-67