A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET

A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET

A problem of constructing a numeric forecasting evaluator on the basis of a fuzzy learning set is considered. The stated general problem is connected to the definition of the missing fuzzy vector co-ordinates and their evaluation. The general formulation is divided into two tasks: to build a method...

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Veröffentlicht in:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki 2019-06 (5), p.18-23
Hauptverfasser: Yu. O. German, O. V. German
Format: Artikel
Sprache:rus
Schlagworte:
classification
forecasting
fuzzy learning set
membership measure function
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Zusammenfassung:A problem of constructing a numeric forecasting evaluator on the basis of a fuzzy learning set is considered. The stated general problem is connected to the definition of the missing fuzzy vector co-ordinates and their evaluation. The general formulation is divided into two tasks: to build a method producing missing fuzzy forecasting values with expected value of a fuzzy measure and forecasting quality estimation. The given mathematical backgrounds are based on the model of a multidimensional crisp classifier and its usage for the fuzzy measure definition with the following evaluation on the basis of the fuzzy vectors probabilities by R. Yager.
ISSN:1729-7648