APPLICATION OF BINARY COMPOSITIONS IN MULTIDIMENSIONAL RECOGNITION TASKS

Authors

  • Romans Grekovs Institute of Information Technology

DOI:

https://doi.org/10.17770/etr2001vol1.1929

Keywords:

Pattern recognition, compositions of fuzzy relations, n-dimensional description space

Abstract

This paper examines the possibility o f using pattern recognition method, which is based on compositions of fuzzy relations, to work with multiple feature selections such as where the number o f features is greater than 3. Investigation o f problems, which are connected to multidimensional pattern recognition, is also applied. Some practical part concerning proposals on experiments is provided.

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Author Biography

  • Romans Grekovs, Institute of Information Technology
    Decision Support Systems Group

References

Ozols, Y. and Borisov, A. (1997), “Pattern Classification and Feature Extraction on the Basis of Composition of Fuzzy Relations.” Proceedings of the Seventh International Fuzzy Systems Association World Congress, IFSA’97, Vol. Ill, Prague, June 25-29, pp. 129-134.

Zadeh, L. A. (1965), “Fuzzy sets and systems.” Proceedings of the Symposium on Systems Theory, Polytechnic Institute of Brooklyn, pp. 29-37.

Borisov, A., Ozols, Y., and Grekovs, R. (2001), “Construction of Features and Decision Rules in Fuzzy Pattern Recognition Tasks.” Int. J. General Systems, Vol. 30(1), pp. 23-43.

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Published

2001-06-20

How to Cite

[1]
R. Grekovs, “APPLICATION OF BINARY COMPOSITIONS IN MULTIDIMENSIONAL RECOGNITION TASKS”, ETR, vol. 1, pp. 263–266, Jun. 2001, doi: 10.17770/etr2001vol1.1929.