Super Fuzzy Matrix of Inverse in kth Order

Unexpected event modelling is a affluent area of study in fuzzy matrix (FM) modelling. Every fuzzy matrix may be shown as a multidimensional cocept, but standard matrices cannot achieve this without the proper scale. To solve this issue, a certain kind of classical fuzzy matrix is required. In this...

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Bibliographic Details
Main Authors: R. Deepa, Dr. P. Sundararajan
Format: Article
Language:English
Published: Accademia Piceno Aprutina dei Velati 2023-03-01
Series:Ratio Mathematica
Subjects:
Online Access:http://eiris.it/ojs/index.php/ratiomathematica/article/view/1079
Description
Summary:Unexpected event modelling is a affluent area of study in fuzzy matrix (FM) modelling. Every fuzzy matrix may be shown as a multidimensional cocept, but standard matrices cannot achieve this without the proper scale. To solve this issue, a certain kind of classical fuzzy matrix is required. In this study, the idea of an inverse of a k-regular fuzzy matrix is introduced, and some of its key characteristics are listed. As a result, the same regularity indicator is used to describe a matrix. Investigation is also done on the relationship between the regular, k-regular, and consistency of fuzzy matrices powers.
ISSN:1592-7415
2282-8214