Work

An Approach to the Total Least Squares Method for Symmetric Triangular Fuzzy Numbers

Year: 2025

Type: article

Abstract: The total least squares method has a broad applicability in many fields. It is also useful in fuzzy data analysis. In this paper, we study the method of total least squares for fuzzy variables. The regression parameters are considered to be crisp. First, we find a formula for the distance between an arbitrary pair of triangular fuzzy numbers and the set described by the regression relation. Second, we develop a new approach to total least squares for data that are modeled as symmetric triangular fuzzy numbers. To illustrate the theoretical results obtained in the paper, some numerical examples are presented.

Source: Mathematics

DOI: 10.3390/math13081224

Authors: Marius Giuclea, Costin-Ciprian Popescu

Institutions: Institute of Solid Mechanics, Romanian Academy, Bucharest University of Economic Studies

Language: English

Topic: Fuzzy Systems and Optimization

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: European Commission