A New Neutrosophic Algebraic Structures

Al-Hamido, Riad K.

doi:10.47852/bonviewjcce2202213

Cited by 3 publications

(2 citation statements)

References 8 publications

(8 reference statements)

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“…Due to the complexity of online comment data, efficient data collection methods are needed. Traditional manual data collection methods are inefficient, so this study utilizes crawler technology to quickly collect data [13]. Through crawler technology, text data can be automatically crawled from Weibo platforms.…”

Section: A Collection and Enhancement Of Campus Network Public Opinio...mentioning

confidence: 99%

The Construction of Campus Network Public Opinion Analysis Model Based on T-GAN Model

Zhang

2023

IJACSA

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The advancement of information technology has made the internet and social media an indispensable part of modern life, but with it comes a flood of false information and rumors. The aim of this study is to develop a technology that can automatically identify campus network public opinion information, in order to protect student groups from the intrusion of erroneous information, maintain their mental health, and promote a clear campus public opinion environment. This study used the Scrapy framework to write web scraping scripts to collect campus public opinion data, and carried out cleaning and preprocessing. Then, a transformer based generative adversarial network (T-GAN) model was designed, combined with a multi-scale convolutional neural network (MCNN) structure, for public opinion analysis on campus networks. The results show that the accuracy of the dataset processed by the T-GAN model has been improved on LGBT, KNN, SVM, and RoBERTa, proving that the campus network public opinion analysis model based on the T-GAN model helps to automatically identify campus network public opinion, protect students' physical and mental health, and promote the healthy development of the campus network environment.

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Section: A Collection and Enhancement Of Campus Network Public Opinio...mentioning

confidence: 99%

The Construction of Campus Network Public Opinion Analysis Model Based on T-GAN Model

Zhang

2023

IJACSA

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“…Later, (Rosenfeld, 1975) defined the basic properties of fuzzy relations which are generalized with fuzzy set as a base set and fuzzy analogues of graphic theoretical concepts like bridges and trees were established with their properties and further fuzzy graph concepts were developed and applied in the real life situations in (Mohamed et al, 2020;Mordeson & Chang-Shyh, 1994;Naz et al, 2017Quek, et al, 2018 ;Smarandache, 2013 ;Tan et al, 2021 ;Das et al, 2021 ;Majumder et al, 2021;Saha et al, 2022). Recent developments of the fuzzy extensions are developed as in (Kumar et al, 2019 ;Radha et al,2021 ;Vellapandi & Gunasekaran, 2020 ;Das & Edalatpanah, 2020 ;Polymenis, 2021;Mao et al, 2020 ;Voskoglou & Broumi, 2022 ;Zhang et al, 2022 ;Al-Hamido, 2022). To the best of authors knowledge, a very less work is being done on the interval-valued pentapartitioned neutrosophic set (IVPPNS), so the present study define the operations on the IVPPNS and later on extend it to graphs environment.…”

Section: Introductionmentioning

confidence: 99%

Interval Valued Pentapartitioned Neutrosophic Graphs with an Application to MCDM

Broumi

Ajay

Chellamani

et al. 2022

Oper. Res. Eng. Sci. Theor. Appl.

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The concept of interval valued pentapartitioned neutrosophic set is the extension of interval-valued neutrosophic set, quadripartitioned neutrosophic set, interval valued quadripartitioned neutrosophic set and pentapartitioned neutrosophic set. The powerful mathematical tool known as the interval valued pentapartitioned neutrosophic set divides indeterminacy into three separate components: unknown, contradiction, and ignorance. There are several applications for graph theory in everyday life, and it is a rapidly growing topic. The concept of an interval valued pentapartitioned neutrosophic set is used in graph theory. A decision-making method multicriteria (MCDM) is proposed by using the developed Interval valued Pentapartitioned Neutrosophic set with a numerical illustration. In this paper, as an extension of interval valued neutrosophic graph theory, we introduce the notions of Interval-Valued Pentapartitioned Neutrosophic Graph (IVPPN-graph) with degree, size, and order of an IVPPN-graph.

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Novel EDAS Methodology Based on Single‐Valued Neutrosophic Aczel‐Alsina Aggregation Information and Their Application in Complex Decision‐Making

et al. 2022

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In this article, we proposed an extended EDAS (Evaluation based on Distance from Average Solution) method based on the single-valued neutrosophic (SVN) Aczel-Alsina aggregation information. The fundamental concept of a single-valued neutrosophic (SVN) set is a universal mathematical tool for effectively managing uncertain and imprecise information. To accomplish our goal, we first extend the Aczel-Alsina t-norm and t-conorm to SVN scenarios and introduce a few new SVN operations on which we construct novel SVN aggregation operators. Furthermore, a decision support strategy is built in the SVN framework using the EDAS methodology and the suggested Aczel-Alsina aggregation operators. This method computes the aggregated outcomes of each investigated alternative, as well as their score values. Finally, to demonstrate the functionality of the developed SVN- EDAS, an application has been made related to the role of commercial banks in providing loans to their customers, which has recently affected our world, and the results are compared with other existing methods. The results suggest that the proposed method may overcome the inadequacies of the existing decision method’s lack of decision flexibility by using SVN aggregation operators.

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A New Neutrosophic Algebraic Structures

Cited by 3 publications

References 8 publications

The Construction of Campus Network Public Opinion Analysis Model Based on T-GAN Model

The Construction of Campus Network Public Opinion Analysis Model Based on T-GAN Model

Interval Valued Pentapartitioned Neutrosophic Graphs with an Application to MCDM

Novel EDAS Methodology Based on Single‐Valued Neutrosophic Aczel‐Alsina Aggregation Information and Their Application in Complex Decision‐Making

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