Results 61 to 70 of about 642 (182)
Hibrid Δ‐Statistical Convergence for Neutrosophic Normed Space
This study is about neutrosophic structures, which is one of the popular topics of recent days. In this study, different types of convergence concepts were applied to difference sequences. With the help of the properties of double type sequences, the concept of difference sequences is combined with structures that are advantageous to work like Lacunary
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A Neutrosophic Statistic Method to PredictTax Time Series in Ecuador
Abstract. Prediction of tax collection behavior is an essential tool for social planning by the State of any country. The tax is the State’smechanism for budget collection, which isnecessary to accomplish public services that benefit the whole society. This paper firstly aimsto propose a method of predicting time series where values can be givenin form
Lilia Esther Valencia Cruzaty +2 more
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Neutrosophic Statistical Analysis of Income of YouTube Channels
The YouTube website is famous among all ages of people due to the verity of purposes. YouTube is also a good platform for earning; therefore, numbers of channels are operating through this website. The income of each channel is directly proportional to the number of views, likes, and subscribers.
Ishmal Shahzadi +2 more
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A Decision‐Making Problem for Smartphone Selection Using Neutrosophic Distance Measures
A neutrosophic distance measure using average functions is defined, and the metric axioms are verified by discussing its properties on a neutrosophic structure. Further, the similarity measure’s axioms are also derived for the complement of the proposed distance measure.
M. Arockia Dasan +5 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.
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In this paper, utilizing the concept of neutrosophic metric spaces proposed by Kirisci and Simsek, we establish a fixed point theorem of Edelstein type within this framework. A numerical example is provided to illustrate the validity of the main result. Furthermore, we present an application to a general SIR‐type epidemic model.
Vishal Gupta +3 more
wiley +1 more source
A linear Diophantine Z‐number Aczel–Alsina t‐norm operator is implemented for solving a linear Diophantine Z‐number problem, along with explaining its reliability, along with the solution derived. Some basic mathematical characteristics of the introduced operator, such as monotonicity, boundedness, and homogeneity, are rigorously deduced mathematically
Muhammad Umar Mirza +4 more
wiley +1 more source
A Neutrosophic Framework for Estimating Returns and Covariance
Financial data often contain ambiguities, contradictions, and indeterminacies, especially under conditions of missinginformation, noisy signals, or subjective expert judgments. Traditional statistical estimators are inadequate in suchsettings, leading to
Silas A. Ihedioha +2 more
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The subsets T, I, F are not necessarily intervals, but may be any real subsets: discrete or continuous; single-element, finite, or (either countably or uncountably) infinite; union or intersection of various subsets; etc.
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The Neutrosophic Statistical Distribution, More Problems, More Solutions
In this paper, the authors explore neutrosophic statistics, that was initiated by Florentin Smarandache in 1998 and developed in 2014, by presenting various examples of several statistical distributions. The paper is presented with more case studies, by means of which this neutrosophic version of statistical distribution becomes more pronounced.
S. K. Patro, F. Smarandache
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