Properties and Structure of Type-2 Neutrosophic Control Point  Relation

Siti Nur Idara Rosli; Mohammad Izat Emir Zulkifly

Authors

Siti Nur Idara Rosli Faculty of Sciences, Department of Mathematics, Universiti Teknologi Malaysia (UTM), 81310 UTM Johor Bahru, Johor, Malaysia;
Mohammad Izat Emir Zulkifly Faculty of Sciences, Department of Mathematics, Universiti Teknologi Malaysia (UTM), 81310 UTM Johor Bahru, Johor, Malaysia;

Keywords:

Type-2 Neutrosophic Set Theory; Type-2 Neutrosophic Control Point Relation; The Properties and Structures.

Abstract

“In recent decades, practitioners and scholars from several fields have increasingly used
fuzzy sets as a fundamental tool for characterizing uncertainty data. Uncertainty or indeterminacy
data cannot be directly modeled since gathering reliable information for analysis or prediction is
difficult. Hence, this study contributes to another theory by visualizing the type-2 neutrosophic set
(T2NS) in geometric modeling onto indeterminacy data established using the type-2 fuzzy ideas.
T2NS represents the generalized forms of fuzzy sets, intuitionistic fuzzy sets, neutrosophic sets,
interval-valued fuzzy sets, interval-valued intuitionistic fuzzy sets, and interval-valued
neutrosophic sets. Thus, the type-2 neutrosophic control point relation (T2NCPR) will be presented
with some numerical examples. Additionally, the properties and structures of T2NCPR will be
discussed. Finally, the proposed approaches are reliable and may be applied to a wide range of
applications.”

DOI: 10.5281/zenodo.16659149