Results 41 to 50 of about 3,100 (205)
Neutrosophic normed spaces and statistical convergence
We define the neutrosophic normed space and the statistical convergence in neutrosophic normed space. We give the statistically Cauchy sequence in neutrosophic normed space and present the statistically completeness in connection with a neutrosophic normed space.
Kirişçi, Murat, Şimşek, Necip
openaire +3 more sources
Construction Of Almost Unbiased Estimator For Population Mean Using Neutrosophic Information [PDF]
In classical statistics, the population mean is estimated using determinate, crisp data value when auxiliary information is known. These estimates can often be biased.
Florentin Smarandache +3 more
doaj +1 more source
In this paper we generalize the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Several examples are presented.
Smarandache, Florentin
core +1 more source
Neutrosophic Statistics for Enhanced Time Series Analysis of Unemployment Trends in Ecuador [PDF]
This study harnesses advanced time series models ARIMA, ETS, and SARIMA, coupled with neutrosophic statistics, to forecast unemployment trends through interval-based predictions.
Stephanie M. Delgado Estrada +3 more
doaj +1 more source
Neutrosophic and Modal Components of Relations in Complex Systems [PDF]
Semiotic components in the relations of complex systems depend on the Subject. There are two main semiotic components: Neutrosophic and Modal. Modal components are alethical and deontical.
Nescolarde-Selva, Josué Antonio +1 more
core +2 more sources
Neutrosophic Mean Estimators Using Extreme Indeterminate Observations in Sample Surveys [PDF]
In classical statistics, research typically relies on precise data to estimate the population mean, especially when auxiliary information is available. However, in the presence of outliers, conventional statistical approaches that depend on accurate data
Vinay Kumar Yadav +3 more
doaj +1 more source
Time series data analysis under indeterminacy
The existing semi-average method under classical statistics is applied to measure the trend in the time series data. The existing semi-average method cannot be applied when the time series data is in intervals or imprecise.
Muhammad Aslam
doaj +1 more source
A Novel Family of Hybrid Neutrosophic Estimators for Population Mean Estimation [PDF]
This paper introduces a novel family of hybrid neutrosophic estimators for estimating the population mean when dealing with indeterminate data. Building upon neutrosophic statistics, we propose two innovative estimators that synergistically combine ratio-
Anisha Taneja, Sachin Malik
doaj +1 more source
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad +2 more
core +1 more source

