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Fuzzy regression analysis using trapezoidal fuzzy numbers. In this paper, we propose a new method for constructing linear fuzzy regression using trapezoidal fuzzy numbers

Modeling and Management of Power Supply Enterprises' Cash Flowslinear regression

Применение метода линейной регрессии для решения транспортных задач for solving problems by linear regression using machine learning. A model has been created that predicts

Modeling and management of power supply enterprises' cash flows forecasting with the use of linear and polynomial regression has been developed. The study is based

An approach to the understanding of sustainable tourism through a linear regression of sustainable tourism quantitatively through a linear regression

Линейное пропорциональное Прокрустово преобразование в распознавании рукописных букв преобразованиями.The linear proportional transformation of twodimensional matrices is developed

Nonadditive robust ordinal regression with nonadditivity index and multiple goal linear programmingNonadditive robust ordinal regression (NAROR) is a widely adopted approach to analyze and reveal

Experience in Statistical Forecasting of the Atmospheric Temperature) is considered. The problem is formulated as a task of linear extrapolating a vector random sequence

Обзор инструментов для регрессионного анализа в R: от фундаментальных методов до нейронных сетей. In addition to basic linear regression methods, more complex models are considered, including generalized

Analysis of dynamic of tropospheric ozone and nitrogen dioxide in the highest region of the Quito city was evaluated using the Spearman's Rho coefficient. Multiple linear regression models were made for each

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