|
Neutrosophic Fuzzy Regression: A Linear Programming Approach
|
Zahra Behdani *   , Majid Darehmiraki |
| Department of mathematics and statistics, Behbahan Khatam Alanbia University of Technology, Khouzestan, Iran , zbehdani@yahoo.com |
|
|
Abstract: (586 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.
|
|
| Keywords: Neutrosophic fuzzy, Regression, Least absolute, Linear programming |
|
|
Full-Text [PDF 269 kb]
(627 Downloads)
|
Type of Study: Original |
Subject:
Mathematical Modeling and Applications of OR
Received: 2023/12/25 | Accepted: 2024/06/3 | Published: 2024/07/23
|
|
|
|
|
|
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
