Single Valued Neutrosophic Sets with Optimal Support Vector Machine for Sentiment Analysis

Mohammed I.

doi:https://doi.org/10.54216/IJNS.1803020

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Found 3836 matches for "All Articles"

Journal of Cybersecurity and Information Management | 2022

A Comprehensive Analysis of Cyber Security Protection Approaches for Financial Firms: A Case of Al Rajhi Bank, Saudi Arabia

In the modern internet-connected society, technologies underpin almost every action in society. Although there have been positive effects of technologies in the organization, there have been forensic specialists indicating the issues and challenges with cyber security threats. The real-time conditions provide the capability of the organization in detecting, analyzing, and defending individuals against such threats. In this research project, the focus is on understanding the cyber security threats and the protection approaches to be utilized in safeguarding threats from financial institutions. With the Covid-19 pandemic, most of the financial firms, including Al Rajhi Bank, are utilizing technologies in their operations, and this has exposed them to cyber security threats. From the literature review conducted, the financial firms need to consider cyber security approaches including implementing triple DES, RSA, and blowfish algorithms in improving the security measures of the organizations. 

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Mohammed I. Alghamdi mail

link https://doi.org/10.54216/JCIM.090101

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

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International Journal of Neutrosophic Science |

Neutrosophic Infi-Semi-Open Set via Neutrosophic Infi-Topological Spaces

In this article an attempt was made to introduce the notion of neutrosophic infi-topological space as an extension of infi-topological space and fuzzy infi-topological space. Besides, we define some open sets namely neutrosophic infi-open set, neutrosophic infi-semi-open set, neutrosophic infi-pre-open set, neutrosophic infi-b-open set. Then, we define some continuous functions namely, neutrosophic infi-continuous function, neutrosophic infi-semi-continuous function, neutrosophic infi-pre-continuous function, neutrosophic infi-b-continuous function via neutrosophic infi-topological space. Further, we formulate several interesting results on them via neutrosophic infi-topological spaces.

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Surapati-Pramanik mail -

SumanDas mail -

Rakhal Das mail -

BinodChandra Tripathy mail

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International Journal of Neutrosophic Science |

Inverse Dominating Set in Neutrosophic Graphs

In this paper, the concept of inverse domination in neutrosophic graph is established. The definition of inverse domination number, inverse dominating set, inverse split and non split dominating sets in neutrosophic graph are developed with suitable examples here. Also, the theorems in inverse domination in neutrosophic graph and the bound on inverse domination number in neutrosophic graph are derived.

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MullaiMurugappan mail

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Journal of Intelligent Systems and Internet of Things | 2021

Comparison between Saudi Arabia and USA: Prevention and Dealing with Cyber Security

Cyber security practices mainly involve the prevention of external threats to software, hardware, server data, and other assets which are connected to the internet. Organizations follow a lot of cyber security practices to protect their systems and databases from malicious cyber actors. Cybercriminals use different techniques like spear-phishing, phishing, password attack, denial of service, ransomware, etc. to cause harm to people, organizations, and governments and steal important information from them. We analyzed the use of deep learning algorithms to deal with cyber-attacks. Deep neural networks or deep learning consist of machine learning procedures to support the network to fix complex issues and learn from unmanaged data. In addition, we also analyzed some of the cyber security laws and practices implemented in the US and Saudi Arabia to work collaboratively against cyber threats. It is observed that both countries are doing well against cyberthreats, but they need to work even more to provide training and support to professionals in the public sector who handle sensitive data about cyber security.

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Sonia Ibrahim mail -

Nada Alkenani mail -

Banan Alghamdi mail -

Amal Alfgeeh mail -

Salwa alghamdl mail -

Yusra Alzhrani mail -

Amani Almuntashiri mail -

Rawan Alghamdi mail -

Abeer Salawi mail -

Wejdan Ahmed Alghamdi mail -

Mohammed. I. Alghamdi mail

link https://doi.org/10.54216/JISIoT.050203

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

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Journal of Neutrosophic and Fuzzy Systems | 2021

A Novel Framework to Enterprise Smart City with IOT and Analytics

The use of IoT devices like sensors, actuators, smartphones etc. is the very rapid and useful source in order to cope smartly with the public and community growth requirements. Nevertheless, when you connect thousands of IoT devices to create a smart network as you communicate over the Internet, you produce a massive amount of data, known as Big Data. Integrating IoT services to receive city data in real time and then efficiently processing large amounts of data to create a smart city is a challenge. Therefore, in this paper the smart town framework based on IoT using Big Data Analytics was proposed and developed. We use sensors such as smart home sensors , network cars, water and weather sensors, smart parking sensors, tracking objects, etc. The entire design and implementation model is proposed and implemented in a specific world using Hadoop ecosystems. The system is implemented in various steps , starting from data collection , aggregation, filtering, classification, preprocessing, computing and decision-making. Spark over Hadoop achieves reliability in the production of big data. The program is realistic for building smart cities by using intelligent systems as the city data base.

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Kranthi Kumar Singamaneni mail -

S V Bharath Kumar Reddy mail -

U Sreenivasulu mail

link https://doi.org/10.54216/JNFS.010104

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems | 2023

Interval-Valued Neutrosophic Hypersoft Sets (IVNHSs) for enterprise resource planning selection

An information system known as an enterprise resource planning (ERP) system is designed to organize and combine all of an organization's subsystems, such as marketing, manufacturing, finances, and purchasing transactions. The adoption of such a complete framework may result in significant cost reductions as well as time reductions for individual workers. This problem is solved by the interval-valued neutrosophic hypersoft set. A new area of research known as the hypersoft set is being established to resolve issues with the inadequacy and limitations of pre-existing models that are similar to soft sets in terms of the consideration and entitlement of multi-argument approximation functions. (This particular kind of function transfers the multi-sub parametric tuples to the power set of the universe. It concentrates on the splitting of each attribute into its own attribute-valued set, which is something that is lacking in current structures that are similar to soft sets.

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Shereen Zaki mail -

Mahmoud Ismail mail

link https://doi.org/10.54216/JNFS.050206

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2021

Neutrosophic Perspective of Neutrosophic Probability Distributions and its Application

Neutrosophical probability is concerned with inequitable and defective topics and processes. This is a subset of Neutrosophic measures that includes a prediction of an event (as opposed to indeterminacy) as well as a prediction of some unpredictability. When there is no such thing as a non-stochastic occurrence, the Neutrosophic probability is the probability of determining a stochastic process. It is a generalisation of classical probability, which states that the probability of correctly predicting an occurrence is zero. Until now, neutrosophic probability distributions have been derived directly from conventional statistical distributions, with fewer contributions to the determination of the for statistical distribution. We introduced the Poission distribution as a limiting case of the Binomial distribution for the first time in this study, and we also proposed Neutrosophic Exponential Distribution and Uniform Distribution for the first time. With numerical examples, the validity and soundness of the proposed notions were also tested. 

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M. Lathamaheswari mail -

Said Broumi mail -

Florentin Smarandache mail -

S. Sudha mail

link https://doi.org/10.54216/IJNS.170202

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

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Journal of Neutrosophic and Fuzzy Systems |

New Operators Using Neutrosophic $ \delta $-Open Set

In this paper, we introduce some new operators called neutrosophic $ \delta $ frontier, neutrosophic $ \delta $ border and neutrosophic $ \delta $ exterior with the help of neutrosophic $ \delta $-open sets in neutrosophic topological space. Also, we discuss the important properties of them and the relations between them.

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C. JohnSundar mail -

A. Vadivel mail

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Journal of Neutrosophic and Fuzzy Systems |

New Operators Using Neutrosophic $ \delta $-Open Set

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C. JohnSundar mail -

A.Vadivel mail

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International Journal of Neutrosophic Science | 2022

Single Valued Neutrosophic Sets with Optimal Support Vector Machine for Sentiment Analysis

Sentiment analysis (SA) is mainly employed to investigate the polarity of the sentiment existent in a content. It assist in understanding the opinions or feelings expressed by people. It find useful in several application areas such as e-commerce, education, etc. Natural language processing (NLP) and machine learning tools can be employed for SA. In this view, this study develops a Single Valued Neutrosophic Sets with Optimal Support Vector Machine (SVNS-OSVM) model for SA. The major intention of the SVNS-OSVM model is to identify the existence of sentiments exist in the data. The SVNS-OSVM model initially performs data pre-processing to transform the input data into a useful format. In addition, SVNS model is applied to derive word embeddings. Then, SVM model is applied for the detection and classification of sentiments. At the last level, the improved particle swarm optimization (IPSO) algorithm is used to fine tune the parameters involved in the SVM model. For ensuring the improved outcomes of the SVNS-OSVM model, a wide range of simulations were performed and the results are inspected under several aspects. The comparative study highlighted the betterment of the SVNS-OSVM model compared to recent approaches.

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Mohammed I. Alghamdi mail

link https://doi.org/10.54216/IJNS.1803020

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

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