10.1007/s40096-020-00335-8

Neutrosophic metric spaces

  • Murat Kirişci*1,
  • Necip Şimşek2,
  1. Department of Biostatistics, Cerrahpasa Medicine Faculty, Istanbul University-Cerrahpaşa, Fatih, Istanbul, 34470, TR
  2. Department of Mathematics, Istanbul Commerce University, Istanbul, TR

Published in Issue 2020-06-03

How to Cite

Kirişci, M., & Şimşek, N. (2020). Neutrosophic metric spaces. Mathematical Sciences, 14(3 (September 2020). https://doi.org/10.1007/s40096-020-00335-8
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Abstract

Abstract Neutrosophy consists of neutrosophic logic, probability, and sets. Actually, the neutrosophic set is a generalisation of classical sets, fuzzy set, intuitionistic fuzzy set, etc. 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 paper, the definition of new metric space with neutrosophic numbers is given. Neutrosophic metric space uses the idea of continuous triangular norms and continuous triangular conorms in intuitionistic fuzzy metric space. Triangular norms are used to generalize with the probability distribution of triangle inequality in metric space conditions. Triangular conorms are known as dual operations of triangular norms. Triangular norms and triangular conorm are very significant for fuzzy operations. Neutrosophic metric space was defined with continuous triangular norms and continuous triangular conorms. Several topological and structural properties neutrosophic metric space have been investigated. The analogues of Baire Category Theorem and Uniform Convergence Theorem are given for Neutrosophic metric spaces.

Keywords

  • Neutrosophic metric space,
  • Baire Category Theorem,
  • Uniform Convergence Theorem,
  • Nowhere dense,
  • Completeness,
  • Hausdorffness

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