A method is proposed for comparative structural-parametric identification of a model of individual multifactor estimation. An experimental solution to this problem is obtained using evolutionary methods.
A method is proposed for comparative structural-parametric identification of a model of individual multifactor estimation. An experimental solution to this problem is obtained using evolutionary methods.
The paper considers interval models for decision-making under interval uncertainty. To solve problems with interval output data, modified methods are proposed based on deterministic methods of decision-making and interval analysis.
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