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Found 3836 matches for "All Articles"

Using method of Nadaraya-Watson kernel regression to detection outliers in multivariate data fusion

In this paper, the researcher discussed a developed approach to the detection of outliers that is suited to multivariate data fusion. The challenge in outlier detection when dealing with multivariate data it is the detection of the outlier with more than two dimensions. To address this issue, the researcher developed a method to detect anomalies using methods based on local density including comparing a specific observations density with the densities of its neighboring observations. To make such comparisons, the researcher often employs an outlier score. In this study, various density estimation functions and distance metrics were utilized. Nadaraya-Watson kernel regression for multivariate data considered the KNN with multivariate data. Finally, the estimate of the Volcano kernel method is an essential method for outliers detection. In the simulation experiments of multivariate data with (4,6,8) variables and (60,120,180) observations, the results of simulation experiments by using the criterion of the precision evaluation showed that the N-W method is better than the VOL method in outlier detection in multivariate data.

groups
Omar A. abd Alwahab mail
link https://doi.org/10.54216/FPA.100207

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new

Random Numbers Generation and Goodness-of-Fit Testing for Literal Neutrosophic Numbers

This paper presents an algorithm for generating random numbers that follow literal neutrosophic distributions using algebraic isomorphisms. The algorithm was applied to three distributions: literal neutrosophic uniform distribution, literal neutrosophic exponential distribution, and literal neutrosophic normal distribution. We also proposed a development of the Kolmogorov-Smirnov test to analyze goodness-of-fit for literal neutrosophic data. To evaluate the effectiveness of the proposed method, a simulation study was conducted, and the power results showed that increasing the sample size improved the test power. Our research contributes to the development of statistical methods for analyzing literal neutrosophic data, which has applications in a wide range of fields.

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Mohamed Bisher Zeina mail -
Mohamad Taher Anan mail -
Yousef Marjamak mail
link https://doi.org/10.54216/GJMSA.040201

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new

Deep Features Selections with Binary Marine Predators Algorithm for Effective Classification of Image Datasets

The paper proposes a method for improving the accuracy of image classification by combining CNNs and the Binary Marine Predators Algorithm (BMPA). The CNNs used in the study, ResNet 50 and AlexNet, were trained on ImageNet and used to extract features from the images in the dataset. Features are taken from layers (avg_pool) in ResNet 50 and (drop7) in AlexNet. These features were then fed into the BMPA algorithm, which selected the most relevant features and removed irrelevant ones to improve the classification process. The proposed method is said to be efficient, capable of achieving higher classification accuracy, and able to select the best features. The authors believe that this approach could be applied to a variety of other image classification tasks. It is important to note that the effectiveness of this method should be evaluated on a range of datasets and compared to other state-of-the-art methods.

groups
N. Muhammed Noori mail -
Omar Saber Qasim mail
link https://doi.org/10.54216/FPA.100208

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new

A Representation of the Generators of the Quotients Group of Sl_2 By Matrices with Special Properties

The problem of the existence and construction of a resolution of singularities is one of the central questions of algebraic geometry. In this paper, we study this problem in connecting with the quotients for . It is known that the action of  on its Lie algebra is corresponding to the action of  on . As a result of this action, it will be an invariant ring, which determines the quotients for . This paper is devoted to studying the singularity of these quotients. We write this singularity as a matrix with interesting features such as, for example, its quadratic is a zero matrix and its rank is less than or equal to 1. Therefore, in this paper, we reduce the studying of the singularity of the quotients of , which is a hard problem, to the studying of a matrix of invariants which is an easy problem.

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Nader Taffach mail
link https://doi.org/10.54216/GJMSA.040202

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new

Neutrosophic Pythagorean Fuzzy Shortest Path in a Network

We began a novel technique to dealing with the Neutrosophic Pythagorean shortest route problem in a network in this paper by representing each edge weight as a triangular fuzzy Pythagorean number with dependent Neutrosophic components and Pythagorean fuzzy graph condition.0≤μ_1 (v_i^' )^2+β_1 (v_i^' )^2+σ_1 (v_i^' )^2≤2. The main purpose of this article is to show how to use Neutrosophic Pythagorean fuzzy graphs. As a result, we created the proposed method, which also delivers the shortest path length from the source node (SN) to the destination node by using a ranking function for the Neutrosophic Pythagorean fuzzy Triangular number. Finally, an illustrative instance is supplied for validation.

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M. Asim Basha mail -
M. Mohammed Jabarulla mail -
broumi said mail
link https://doi.org/10.54216/JNFS.060103

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

Applications of Extended Plithogenic Sets in Plithogenic Sociogram

The theory of plithogeny developed by Smarandache is described as a more generalized form of representing sets of different nature such as crisp, fuzzy, intuitionistic and neutrosophic. Plithogenic set comprises degree of appurtenance and contradiction degree with respect only to the dominant attribute. This paper introduces extended plithogenic sets comprising degrees of appurtenance and contradiction with respect to both dominant and recessive attributes. The extension of the 5-tuple Plithogenic sets to a 7- tuple plithogenic sets helps in developing a more comprehensive kind of Plithogenic sociogram. The newly developed plithogenic sets and its implications in Plithogenic sociogram is validated by the decision making problem on food processing industries. The obtained results using extended plithogenic sets are more promising in comparison to the conventional plithogenic sets. The proposed kind of plithogenic sets will benefit the decision makers to make optimal decisions based on both optimistic and pessimistic approaches.

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S.Sudha mail -
Nivetha Martin mail -
Florentin Smarandache mail
link https://doi.org/10.54216/IJNS.200401

Volume & Issue

Vol. Volume 20 / Iss. Issue 4

Details open_in_new

An Introduction to M-Open Sets in Fuzzy Neutrosophic Topological Spaces

A new classes of sets called fuzzy neutrosophic M-open sets and fuzzy neutrosophic M-Closed sets in fuzzy neutrosophic topology are introduced some characterizations of these notions have been presented.   After given the fundamental definitions of the new notions, we studided some theorems, propositions and some necessary relations with examples related to these notions had been discussed.

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Zahraa A. Khalaf mail -
Fatimah M. Mohammed mail
link https://doi.org/10.54216/IJNS.200402

Volume & Issue

Vol. Volume 20 / Iss. Issue 4

Details open_in_new

Hyers - Ulam - Rassias Stability of Various Functional Equations in Non-Archimedean Neutrosophic Normed Spaces

In this paper, we introduce the notion of non- Archimedean neutrosophic normed space and also establish Hyers-Ulam-Rassias-type stability results concerning the Cauchy, Pexiderized  Cauchy. We determine some stability results concerning the Cauchy, Jensen and its Pexiderized functional equations in the framework of non-Archimedean Neutrosophic Normed Space. This work indeed presents a relationship between four various disciplines, the theory of neutrosophic normed space, non – Archimedean, Hyers-Ulam-Rassias stability and functional equation.

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R. Muthuraj mail -
K. Nachammal mail -
M. Jeyaraman mail
link https://doi.org/10.54216/IJNS.200403

Volume & Issue

Vol. Volume 20 / Iss. Issue 4

Details open_in_new

Bipolar fuzzy hypersoft set and its application in decision making

Smarandache developed the idea of hypersoft set (HSS) theory as an extension of soft set (SS) theory. HSS provides a general mathematical framework for handling data that can be formulated as several trait-valued disjoint sets which blend to various traits. The major goal of this article is to lay the footing for supplying a new model called bipolar fuzzy hypersoft sets (BFHSSs) by linking both fuzzy sets (FSs) and HSSs under bipolarity property. By using positive and negative membership functions and multi-argument functions, these structures work best for testing uncertainty. This makes them better at solving real-world problems, especially ones that have both good and bad sides. This paper also has different operations for BFHSSs, such as absolute BFHSS, null BFHSS, complement, subset, union, intersection, and their related properties. Moreover, operations like OR and AND for BFHSS have been instituted. Some properties are demonstrated, and some numerical examples are given to illustrate the mechanism of using these tools. Finally, these tools are applied in the decision-making process based on an algorithm that is built.

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Ashraf Al-Quran mail -
Faisal Al-Sharqi mail -
Kifayat Ullah mail -
Mamika Ujianita Romdhini mail -
Marwa Balti mail -
Mohammed Alomair mail
link https://doi.org/10.54216/IJNS.200405

Volume & Issue

Vol. Volume 20 / Iss. Issue 4

Details open_in_new