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American Journal of Business and Operations Research | 2021

Data-Driven Approach for Enhancing Customer Satisfaction: A Case Study in Service Operations Management

 In today's highly competitive business environment, companies are increasingly focusing on enhancing customer satisfaction to improve customer loyalty and drive business growth. In this context, the use of data-driven approaches can provide valuable insights for companies to improve their service quality and customer experience. This paper presents a case study in service operations management, where a data-driven approach is used to enhance customer satisfaction. We employ a dataset of customer feedback from a service company and proposes a deep learning (DL) algorithm learn to identify the factors that affect customer satisfaction. The results show that the proposed data-driven approach is effective in identifying the key drivers of customer satisfaction and in providing actionable insights for service improvement. We highlight the potential of our DL approach for enhancing customer satisfaction and provides insights for service companies to improve their customer experience based on the analysis of customer feedback.

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Alshaimaa A. Tantawy mail -
Heba R. Abdelhady mail -
Shereen Zaki mail -
Mahmoud M. Ismail mail
link https://doi.org/10.54216/AJBOR.020105

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new
Neutrosophic and Information Fusion | 2023

A Multi-Criteria Decision-Making Approach for Piston Material Selection under Single-Valued Trapezoidal Neutrosophic Sets

It is one of the most difficult and time-consuming processes to develop and pick an acceptable material for the piston material that has a variety of attributes. Component failure is often caused by inappropriate material at some stage throughout the functioning process. In light of this, the piston material selection is performed in this article. The goal of this work is to found a technique for selecting the material of the piston for a new design engine by using the multi-criteria decision-making (MCDM) approach to find a solution to the issue of choosing the material for the piston. The purpose of the TOPSIS method is to pick the appropriate material for a piston based on the application it will be used in. The TOPSIS technique is stretched under neutrosophic sets to solve the vague and uncertain information in this process. The single-valued trapezoidal neutrosophic sets (SVTNSs) are used in this paper. The SVTNSs is a mixed with the trapezoidal neutrosophic sets (TNSs) and the single-valued neutrosophic sets (SVNSs). There are nine criteria and three alternatives used in this paper. The illustrative example is carried out The sensitivity analysis and comparative study are carried out to display the robustness and efficiency of the suggested model.

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Ahmed M. Ali mail
link https://doi.org/10.54216/NIF.020102

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new
Neutrosophic and Information Fusion | 2023

An Integrated Multi-Criteria Decision-Making Approach for Identification and Ranking Solar Drying Barriers under Single-Valued Triangular Neutrosophic Sets (SVTNSs)

Solar dryers utilized in agriculture for the drying of food and crops are also utilized for drying operations in industrial settings. They have the potential to be shown as a very helpful tool in terms of the management of energy saving. It not only helps conserve energy, but it also helps save a lot of time, consumes less space, makes the procedure more effective, enhances the standard of the product, and safeguards the surroundings. Due to the many associated potential barriers, the acceptance of solar dryers has not yet reached a benchmark, although this was an expectation. In this body of work, a methodical framework that makes use of the MCDM tools has been proposed to identify and rank several obstacles in descending order of importance.The AHP can identify both quantitative and qualitative aspects by using comparison matrices to assign weights to them and rank them in order of importance. The AHP technique is used to calculate the weights and relationship of the solar drying barrier. To account for the lack of clarity and coherence in the data that is available in the actual world, we tested the suggested model in a neutrosophic set. We used the single-valued triangular neutrosophic sets (SVTNSs). SVTNSs are a type of neutrosophic set, integrated into triangular neutrosophic sets and SVNSs. The application of applying the SVNSs-AHP is performed.

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Shimaa Said mail -
Mahmoud M. Ibrahim mail -
Mahmoud M. Ismail mail
link https://doi.org/10.54216/NIF.020103

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new
Neutrosophic and Information Fusion | 2023

Financial Risks Appraisal based on Dynamic Appraisal Framework

Recently, New Energy Vehicle (NEV) consider eco-friendly and become the strategic option for balancing economic, social, and ecological goals. Therefore, this study contributed to construct a dynamic appraisal framework (DAF). Deploying Combined Compromise Solution (CoCoSo) methods and single-valued neutrosophic sets (SNNSs) in DAF to appraise financial risk for seven enterprises based on determined nine criteria. The CoCoSo method is used within the context of the SVN to decide which enterpise is the otimal. In addition, an example case study of financial risk evaluation is explored to highlight the entire execution process of the suggested framework.

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Mona Mohamed mail
link https://doi.org/10.54216/NIF.020104

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new
Neutrosophic and Information Fusion | 2023

Spherical Fuzzy Multi-Criteria Decision-Making Approach for Risk Assessment of Natech

It is possible for a natural catastrophe to cause harm to numerous industrial facilities in the same region simultaneously. The natural catastrophe's Natech events may then affect the industrial facilities that are located nearby, so creating a coupling risk. The evaluation of the danger of Natech events coupling is conducted using the technique of multi-criteria decision-making (MCDM) methodology in this investigation. Additionally, the concept of spherical fuzzy is presented as a means of resolving the issue of ambiguity associated with the Natech coupling risk. The Natech Coupling Hazard Index is designed to include both tangible and operational resources in its calculations. The idea of an equal population is being floated as a means of contrasting the dangers presented by physical facilities with those posed by functional amenities. The spherical fuzzy set is an effective method for coping with ambiguity since it presents a broader decision-making region and identifies reluctance. under this paper, a fuzzy MDCM technique using spherical fuzzy AHP is proposed as a solution to the challenge of managing the selection of process mining methods under settings that are unclear and vague. The AHP method is used to compute the weights of criteria and shows the rank and order of alternatives. The application is performed in steps of the spherical fuzzy AHP method.

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Hadeer Mahmoud mail -
Ahmed Abdelhafeez mail
link https://doi.org/10.54216/NIF.020105

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new
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

Details open_in_new
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
link

Volume & Issue

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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
link

Volume & Issue

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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

Details open_in_new
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

Details open_in_new