Interval Valued Intuitionistic Fuzzy β-Filters on β-Algebras

Palanivel, K.; Muralikrishna, P.; Hemavathi, P. S.; Chinram, Ronnason; Singavananda, Pattarawan

doi:10.28924/2291-8639-20-2022-50

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rohn [18] proposed theoretical and practical ways to figure out how to calculate the inverse interval matrix. After this inspiration and motivation, several authors, such as [7,12,17] have investigated uncertainty. The main goal of this study is to create effective computational algorithms based on generalized interval arithmetic.…”

Section: Introductionmentioning

confidence: 99%

Symbolic Algorithm for Inverting General k-Tridiagonal Interval Matrices

Thirupathi

Thamaraiselvan²

2023

Int. J. Anal. Appl.

View full text Add to dashboard Cite

The k-tridiagonal matrices have received much attention in recent years. Many different algorithms have been proposed to improve the efficiency of k-tridiagonal matrix estimation. A novel method based on interval analysis has been identified to improve the efficiency of the calculation. This paper presents efficient and reliable computational algorithms for determining the determinant and inverse of general k-tridiagonal interval matrices built on generalized interval arithmetic. This study is based on the Doolittle LU factorization of the interval matrix. Finally, examples are presented to illustrate the algorithms.

show abstract