A Procedure for Solving a Problem of Classification with Functions for Comparing Multi-Type Features
Khamroev AlisherScientific and innovation centre for information and communication technologies,Pattern recongition laboratory,Tashkent,UzbekistanDilnoza MamievaGachon University,Department of IT Convergence Engineering,Seongnam,Incheon,South KoreaNarziev NosirTashkent University of Information Technologies Named After Muhammad al-Khwarizmi,Software of information technologies,Tashkent,Uzbekistan
2019 International Conference on Information Science and Communications Technologies (ICISCT)conference2019en
ABI
Аннотация
This paper presents an approach for classifying objects describing via multi-type feature. A problem of classification on based (precedents of) training set. Multi-type features divide several groups, and for each group of features special elementary logical classifiers will be built. Here, the focus is on features expressed by fuzzy sets. Part of the result is a comparison of the values of one fuzzy sign.
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