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Neutrosophic Fuzzy Regression: A Linear Programming Approach
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چکیده: (2 مشاهده) |
Regression is a statistical technique used in finance, investment, and several other domains to assess the magnitude and precision of the association between a dependent variable (often represented as Y) and a set of other factors (referred to as independent variables). This work introduces a linear programming approach for constructing regression models for Neutrosophic data. To achieve this objective, we use the least absolute deviation approach to transform the regression issue into a linear programming problem. Ultimately, the efficacy of the suggested approach in resolving such problems has been shown via the presentation of a concrete illustration.
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متن کامل [PDF 269 kb]
(9 دریافت)
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نوع مطالعه: پژوهشی |
موضوع مقاله:
Mathematical Modeling and Applications of OR
دریافت: 1402/10/4 | پذیرش: 1403/3/14 | انتشار: 1403/5/2
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