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Neutrosophic Fuzzy Regression: A Linear Programming Approach
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Zahra Behdani *   , Majid Darehmiraki |
| Department of mathematics and statistics, Behbahan Khatam Alanbia University of Technology, Khouzestan, Iran , zbehdani@yahoo.com |
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Abstract: (386 Views) |
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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| Keywords: Neutrosophic fuzzy, Regression, Least absolute, Linear programming |
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Full-Text [PDF 269 kb]
(411 Downloads)
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Type of Study: Original |
Subject:
Mathematical Modeling and Applications of OR
Received: 2023/12/25 | Accepted: 2024/06/3 | Published: 2024/07/23
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