Fixed Point Results in Orthogonal Neutrosophic Metric Spaces | Zendy

Umar Ishtiaq | Zendy; Khalil Javed | Zendy; Fahim Ud Din | Zendy; Manuel De la Sen | Zendy; Khalil Ahmed | Zendy; Muhammad Usman Ali | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Fixed Point Results in Orthogonal Neutrosophic Metric Spaces

Author(s) -

Umar Ishtiaq,

Khalil Javed,

Fahim Ud Din,

Manuel De la Sen,

Khalil Ahmed,

Muhammad Usman Ali

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/2809657

Subject(s) - generalization , mathematics , metric space , metric (unit) , set (abstract data type) , fuzzy logic , space (punctuation) , point (geometry) , fuzzy set , algebra over a field , discrete mathematics , pure mathematics , computer science , artificial intelligence , mathematical analysis , operations management , geometry , economics , programming language , operating system

Neutrosophy deals with neutrosophic logic, probability, and sets. Actually, the neutrosophic set is a generalization of the classical set, fuzzy set, and intuitionistic fuzzy set. A neutrosophic set is a mathematical notion serving issues containing inconsistent, indeterminate, and imprecise data. The notion of intuitionistic fuzzy metric space is useful in modelling some phenomena, where it is necessary to study the relationship between two probability functions. In this study, the concept of an orthogonal neutrosophic metric space is initiated. It is a generalization of the neutrosophic metric space. Some fixed point results are investigated in this setting. For the validity of the obtained results, some nontrivial examples are given.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research