Results 31 to 40 of about 275 (146)
Fuzzy Set and Soft Set Theories as Tools for Vocal Risk Diagnosis
New mathematical theories are being increasingly valued due to their versatility in the application of intelligent systems that allow decision‐making and diagnosis in different real‐world situations. This is especially relevant in the field of health sciences, where these theories have great potential to design effective solutions that improve people’s
José Sanabria +3 more
wiley +1 more source
Rough statistical convergence in neutrosophic normed spaces
Neutrosophic normed spaces, one of the recent hot issues in mathematics, are covered in this paper. The Neutrosophic approach is based on the idea that the degree of uncertainty should be taken into consideration and that it is insufficient to categorise problems in daily life as either right or wrong.
openaire +2 more sources
Statistical ∆M - Convergence in Neutrosophic Normed Space
Characterizing Statistical ∆M-Convergence in the setup of Neutrosophic Normed Space for Double sequences is the main objective of our study in the current paper. We have provided a few instances that demonstrate how generalized this approach of convergence is.
Jeyaraman M, null Jenifer P
openaire +1 more source
ateaux And Frechet Derivative In Neutrosophic Normed Linear Space
In this study, we present the neutrosophic derivatives, the neutrosophic Gateaux derivative, and the neutrosophic Frechet derivative, and we examine some of their features. The relationship between the neutrophilic Frechet derivative and the neutrophilic Gateaux derivative is examined.
M. Jeyaraman +3 more
openaire +2 more sources
In everyday life, decision‐making is a difficult task fraught with ambiguity and uncertainty. Many researchers and scholars have suggested numerous fuzzy set theories to resolve these ambiguities and uncertainties. The EDAS method (evaluation based on distance from average answer) is extremely beneficial in decision‐making situations.
Muhammad Qiyas +4 more
wiley +1 more source
On Neutrosophic 2‐Metric Spaces with Application
Classical sets, fuzzy sets, intuitionistic fuzzy sets, and other sets are all generalized into the neutrosophic sets. A neutrosophic set is a mathematical approach that helps with challenges involving data that is inconsistent, indeterminate, or imprecise. The goal of this manuscript is to present the notion of neutrosophic 2‐metric spaces.
Ali Asghar +6 more
wiley +1 more source
The Role of Lacunary Statistical Convergence for Double sequences in Neutrosophic Normed Spaces [PDF]
This paper introduces and explores the concept of lacunary statistical convergence of double sequence within the framework neutrosophic normed spaces. Neutrosophic normed spaces extend classical normed spaces by incorporating neutrosophic numbers, which ...
Jenifer. P, Jeyaraman. M
doaj +1 more source
In this article, we aim to prove various unique fixed point results for contractive and weakly compatible mappings in the sense of neutrosophic metric spaces. Several nontrivial examples are also imparted. To support main result, uniqueness of solution of nonlinear fractional differential equations is examined.
Usman Ali +5 more
wiley +1 more source
Certain aspects of Nörlund ℐ-statistical convergence of sequences in neutrosophic normed spaces
The aim of this article is to investigate the neutrosophic Nörlund ℐ-statistically convergent sequence space. We present some neutrosophic normed spaces (NNSs) in Nörlund convergent spaces.
Kişi Ömer +2 more
doaj +1 more source
On $\mathcal{I}_{\theta }$-convergence in Neutrosophic Normed Spaces
The purpose of this article is to investigate lacunary ideal convergence of sequences in neutrosophic normed space (NNS). Also, an original notion, named lacunary convergence of sequence in NNS, is defined. Also, lacunary $% \mathcal{I}$-limit points and lacunary $\mathcal{I}$-cluster points of sequences in NNS have been examined. Furthermore, lacunary
openaire +5 more sources

