Secondary k-Kernel Symmetric Interval Valued Intuitionistic Neutrosophic Fuzzy Matrices

We propose the idea of secondary symmetric k-kernels with interval-valued intuitionistic neutrosophic fuzzy matrices (IVINFM) like an EP matrix within the complex field. The notion of secondary kernel IVINFM and k-kernel symmetric (KS) IVINFM is presented by providing examples. We also illustrate the graphical representation of KS adjacency IVINFM and incidence IVINFM. We found every isomorphic IVINFM and non-isomorphic IVINFM graph to be k-KS IVINFM. However, the reverse shall not be the case. The definition of k-symmetric IVINFM as k- KS IVINFM, but the reverse is not the case. The characteristics of secondary kernels IVINFM, which are symmetric IVINFM, have been explored in this research using examples. The relationship between s-k KS IVINFM, symmetric s- KS IVINFM, and KS IVINFM, and the KS IVINFMs are examined. We identify the required and sufficient criteria for the KS IVINFM and s-k KS IVINFM. The comparable requirements for the various g-inverses that make up an s-k KS IVINFM are shown. The generalized inverses of a KS IVINFM A, which correspond to the sets A{1,2}, A{1, 2 ,3} and A{1,2, 4} are described.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-10-15
DOI
https://doi.org/10.52783/cana.v32.1959
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Secondary k-Kernel Symmetric Interval Valued Intuitionistic Neutrosophic Fuzzy Matrices

Mani Anandhkumar
Communications on Applied Nonlinear Analysis
Multi-Criteria Decision Making
article

Secondary k-Kernel Symmetric Interval Valued Intuitionistic Neutrosophic Fuzzy Matrices

Mani Anandhkumar
article en

Abstract

We propose the idea of secondary symmetric k-kernels with interval-valued intuitionistic neutrosophic fuzzy matrices (IVINFM) like an EP matrix within the complex field. The notion of secondary kernel IVINFM and k-kernel symmetric (KS) IVINFM is presented by providing examples. We also illustrate the graphical representation of KS adjacency IVINFM and incidence IVINFM. We found every isomorphic IVINFM and non-isomorphic IVINFM graph to be k-KS IVINFM. However, the reverse shall not be the case. The definition of k-symmetric IVINFM as k- KS IVINFM, but the reverse is not the case. The characteristics of secondary kernels IVINFM, which are symmetric IVINFM, have been explored in this research using examples. The relationship between s-k KS IVINFM, symmetric s- KS IVINFM, and KS IVINFM, and the KS IVINFMs are examined. We identify the required and sufficient criteria for the KS IVINFM and s-k KS IVINFM. The comparable requirements for the various g-inverses that make up an s-k KS IVINFM are shown. The generalized inverses of a KS IVINFM A, which correspond to the sets A{1,2}, A{1, 2 ,3} and A{1,2, 4} are described.

Communications on Applied Nonlinear AnalysisVol. 32(3)
Openalex Percentile: Top 75%
Multi-Criteria Decision Making
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.