Радиопромышленность. 2017; 27: 85-88
МЕТОД АВТОМАТИЧЕСКОЙ ГРУППИРОВКИ ОДНОТИПНЫХ ОБЪЕКТОВ ПО НЕЧЕТКОЙ ИСХОДНОЙ ИНФОРМАЦИИ
https://doi.org/10.21778/2413-9599-2017-4-85-88Аннотация
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Radio industry (Russia). 2017; 27: 85-88
METHOD OF AUTOMATED GROUPING OF SINGLE-TYPE OBJECTS BY FUZZY SOURCE INFORMATION
https://doi.org/10.21778/2413-9599-2017-4-85-88Abstract
A method of automated grouping of single-type objects by fuzzy source information is proposed that is based on the procedure of splitting of an existing set of objects into clusters proposed by Tamura- Higuti-Tanaka. The urgency of the subject is caused by absence in the available classification of problem solution method allowing solution in a near-real time scale in case of absence of a priori information on the number of classes and α-level of fuzzy relation of equivalence. An attempt is taken to decrease the problem solution time for the case of limitations on the threshold of the solution to be taken, and a procedure is proposed that provides its implementation. Functionability and efficiency of the method are confirmed by comparative modelling and appraisal in a real system that have shown 30% decrease of the time for the procedure implementation if to be compared with the Vanada-Tanaki-Asai technique with the same obtained results. The method may be used in radio-technical systems requiring clusterisation of objects by a fuzzy tolerance matrix in the time scales close to real.
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