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Construction of fuzzy model of monitoring with using of multicriterion genetic algorithm

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Hisoblash va amaliy matematika muammolari

Hisoblash va amaliy matematika muammolari

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Considered the process of constructing a fuzzy model monitoring using multi-criteria genetic algorithm. Multi-criteria genetic algorithm to optimize the combination of the objective functions, and thus get a few sets of non-dominated fuzzy classification rules. These sets of fuzzy rules are approaching the Pareto optimal solution set of multi-criteria genetic algorithm. A plurality of sets of fuzzy rules allows in each case to select the most appropriate solution in terms of the relation between the precision and interpretability fuzzy classification model. In the particular example shows the results of the multi-criteria genetic algorithm.

AUTHORS

D.Muhamediyeva

Toshkent axborot texnologiyalari universiteti

N.Niyozmatova

Toshkent axborot texnologiyalari universiteti

Tags

# нечеткое правило# целевая функция# нечеткая модель мониторинга# многокритериальный генетический# fuzzy model of monitoring# multi-criteria genetic algorithm# fuzzy rule# the objective function# мониторингнинг норавшан модели# кўп мезонли генетик алгоритм# норавшан қоидда# мақсад функция

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Article Identifiers

ROI:

https://eroi.uz/11.0007/A1219-0037

DOI:

Not Available

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