International Journal of Nonlinear Analysis and Applications

Idea about using ordinary least square by centroid methods for fuzzy pure spatial autoregressive model

Document Type : Research Paper

Authors

1 Department statistics, College Administration and Economics, University of Kirkuk, Kirkuk, Iraq

2 Department Mathematics, College Computer Sciences and Mathematics, University of Mosul, Iraq

Abstract

Introduce some ideas about applied of spatial regression models for independent and dependent fuzzy variables. while the parameters crisp values, which are estimated by the ordinary least squares method. This paper has been formulated fuzzy Pure Spatial Autoregressive Model (FPSAM) from a fuzzy general spatial model, and applied for trapezoidal fuzzy number in the domain traffic accidents for a number of cities in Iraq for the year 2018 and that after converting the Trapezoidal fuzzy number into crisp values by centroid method, calculations the results by Matlab language. 

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 13, Issue 2
July 2022
Pages 1367-1375
  • Receive Date: 01 December 2021
  • Revise Date: 17 January 2022
  • Accept Date: 01 February 2022
  • First Publish Date: 01 March 2022