Local Neutrosophic Rough Similarity Measure based tangent function

This work studies the information brought by the degree of truth, falsity, and indeterminacy Membership in the Neutrosophic set (NS) defined as a vector representation. The tangent similarity measure into the Local Neutrosophic Rough set (LNRS) is proposed by tangent similarity measure for NSs and is also proved with some of its properties and an algorithm is generated for the proposed approach between two LNRS. Further, the proposed similarity measure is validated with the school selection problem.

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Publication Details

Journal
Advances in Nonlinear Variational Inequalities
Published
2024-10-09
DOI
https://doi.org/10.52783/anvi.v28.1914
Primary Topic
Rough Sets and Fuzzy Logic
Type
article
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article

Local Neutrosophic Rough Similarity Measure based tangent function

S. Prasanna Bharathi
Advances in Nonlinear Variational Inequalities
Rough Sets and Fuzzy Logic
article

Local Neutrosophic Rough Similarity Measure based tangent function

S. Prasanna Bharathi
article en

Abstract

This work studies the information brought by the degree of truth, falsity, and indeterminacy Membership in the Neutrosophic set (NS) defined as a vector representation. The tangent similarity measure into the Local Neutrosophic Rough set (LNRS) is proposed by tangent similarity measure for NSs and is also proved with some of its properties and an algorithm is generated for the proposed approach between two LNRS. Further, the proposed similarity measure is validated with the school selection problem.

Advances in Nonlinear Variational InequalitiesVol. 28(2)
Peace, Justice and strong institutions
Openalex Percentile: Top 76%
Rough Sets and Fuzzy Logic
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Local Neutrosophic Rough Similarity Measure based tangent function — S. Prasanna Bharathi · Advances in Nonlinear Variational Inequalities (2024) | TGRS Research Map | TGRS