Title
Solving a fuzzy linear equation with a variable, using the expected interval of a fuzzy number
Date Issued
02 December 2020
Access level
open access
Resource Type
conference paper
Author(s)
Universidad Nacional de Piura
Universidad Nacional de Piura
Publisher(s)
IOS Press BV
Abstract
In this work, a fuzzy linear equation AX + B = 0, is solved, were A, B y C are triangular diffuse numbers, could also be trapezoidal. For this type of equations there are several solution methods, the classic method that does not always obtain solutions, the most used is the method of alpha cuts and arithmetic intervals that although it always finds a solution, as a value is taken closer to zero (more inaccurate), the solution satisfies less to the equation. The new method using the expected interval, allows to obtain a smaller support set where the solutions come closer to satisfying the equation, also allows to find a single interval where the best solutions for decision making are expected to be found. It is recommended to study the incorporation of the concept of the expected interval in the methods to solve systems of fuzzy linear equations
Start page
98
End page
106
Volume
332
Language
English
OCDE Knowledge area
Matemáticas puras
Scopus EID
2-s2.0-85098670514
Source
Frontiers in Artificial Intelligence and Applications
Resource of which it is part
Frontiers in Artificial Intelligence and Applications
ISSN of the container
09226389
ISBN of the container
978-164368136-8
Conference
International Conference on Machine Learning and Intelligent Systems, MLIS 2020
Sources of information: Directorio de Producción Científica Scopus