Regression Modeling for Linguistic Data under Fuzzy Random Errors

Author(s):

Maryam Maleki , Hamidreza Nili-Sani* , M.GH. Akari

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

In this article, logistic regression models are studied in which the response variables are two (or multiple) values and the explanatory variables (predictor or independent) are ordinary variables, but the errors have a vagueness nature in addition to being random. Based on this, we formulate the proposed model and determine the estimation of the coefficients for a case with only one explanatory variable using the method of least squares. In the end, we explain the results with an example.

Keywords:

Logistic Regression , Fuzzy Random Variables , Fuzzy Linguistic Random Variables

Language:
Persian
Published:
Andishe-ye Amari, Volume:28 Issue: 2, 2024
Pages:
1 to 9
https://www.magiran.com/p2839776