A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET

A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET

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A problem of constructing a numeric forecasting evaluator on the basis Appliance Package 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 Heater Timer for the fuzzy measure definition with the following evaluation on the basis of the fuzzy vectors probabilities by R.Yager.