Interval Valued Neutrosophic Sets and Multi-Criteria Decision Making for Sustainable Mobile Healthcare Promotion

Mahmoud M.

doi:https://doi.org/10.54216/FinTech-I.010101

American Journal of Business and Operations Research | 2021

Effects of Knowledge Management on Organizational Performance

The main purpose of this paper is to evaluate the impact of knowledge management (KM) on organizational performance of Microsoft Corporation. The study will also inform global entrepreneurs regarding the importance and application of KM in workplaces. The study will discuss the modification and technological integration that are required to derive desired outcomes from KM. The research will also evaluate the contribution of KM to career development and opportunities for the employees. Modern organizations need to enhance their products and services continue to be the first choice of customers. The KM has enabled organizations to determine the changing demands and requirements of customers. Therefore, it can be opined that the research aims to analyse the significance of KM in modern organizations, employees, and competitiveness. 

groups

Ghoson Taleb mail -

Faris Almansour mail

link https://doi.org/10.54216/AJBOR.050201

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

Journal of Cybersecurity and Information Management | 2021

Mitigating Hot Spot Problem in Wireless Sensor Networks using Political Optimizer Based Unequal Clustering Technique

Wireless Sensor Network (WSN) encompasses a set of wirelessly connected sensor nodes in the network for tracking and data gathering applications. The sensors in WSN are constrained in energy, memory, and processing capabilities. Despite the benefits of WSN, the sensors closer to the base station (BS) expels their energy faster. It suffers from hot spot issues and can be resolved by the use of unequal clustering techniques. In this aspect, this paper presents a political optimizer-based unequal clustering scheme (POUCS) for mitigating hot spot problems in WSN. The goal of the POUCS technique is to choose cluster heads (CHs) and determine unequal cluster sizes. The POUCS technique derives a fitness function involving different input parameters to minimize energy consumption and maximize lifetime of the network. To showcase the enhanced performance of the POUCS technique, a comprehensive experimental analysis takes place, and the detailed comparison study reported the better performance of the POUCS technique over the recent techniques.

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Sahil Verma mail -

Sanjukta Gain mail

link https://doi.org/10.54216/JCIM.080201

Volume & Issue

Vol. Volume 8 / Iss. Issue 2

Details open_in_new

Journal of Cybersecurity and Information Management | 2021

Advancements in Encryption Techniques for Enhanced Data Security Over Cloud

With the advancements in internet technologies and increased transactions over the internet the threats for data security increased many folds than ever. Nowadays message application services are in great demand, as they offered end-to-end encryption (E2EE) that is essential to provide security to the users while communication takes place between parties. Today  messaging application service is in great use for communication. For making communication over the network.  This paper presents that security is essential while communication takes place between users and how E2EE offers security to the users. Consumers' concerns related to the security and privacy of their data are growing day by day with increased inter-connectivity. We examine the existing mobile message service encryption protocols that provide security and the features which preserve privacy for messenger applications and also evaluate the technical challenges involved for its  implementations.

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Rishu mail -

Vijay Kumar Sinha mail -

Shruti Aggarwal mail

link https://doi.org/10.54216/JCIM.080202

Volume & Issue

Vol. Volume 8 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2021

Analysis of Coronavirus Pandemic Spread in India Using Epidemiological Model

In this paper, a methodology for dissecting information of the coronavirus has been introduced and the conduct of the coronavirus in India has been concentrated with the assistance of the epidemiological SIR model. The model considered is of the sort of "nonstop contamination" according to which tainted occupants proceeded in a similar compartment until getting recuperated by treatment or demise. The forecast depends on gathered auxiliary information for a specific period from the online assets. SIR(Susceptible, Invective, Removed Class) model has been applied to the information and in the wake of breaking down the security of the differential conditions, the condition appears to be insecure and seen that the destructive infection must be controlled with wellbeing measures however isn't be destroyed soon.

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Divya S mail -

Vijay Kumar Sinha mail -

Shruti Aggarwal mail

link https://doi.org/10.54216/AJBOR.050202

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2021

Feature Selection Optimization Model for Business Risk Assessment Model

Financial risk assessment becomes a hot research topic among financial firms or companies to assess the financial status and thereby avoid future crises. Earlier studies have focused on statistical models for the assessment of financial risks and the recently developed machine learning (ML) models find useful to improve the assessment performance. In this aspect, this study introduces a novel Butterfly Optimization based Feature Selection with Classification Model for Financial Risk Assessment (BOFS-CFRA) technique. The proposed BOFS-CFRA technique involves pre-processing at the primary stage to get rid of unwanted data. In addition, K-means clustering approach is developed to group the financial data into clusters. Then, the BOFS technique is applied to choose the subset of features from the clustered data. Finally, the classification of financial risks takes place by the use of functional link neural network (FLNN). In order to ensure the enhanced performance of the BOFS-CFRA technique, a series of simulations were carried out and the results are inspected under various measures. The simulation outcome portrayed the supremacy of the BOFS-CFRA technique over the other financial risk assessment models in terms of several performance measures.

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Noura Metawa mail -

Mohamed Elhoseny mail

link https://doi.org/10.54216/AJBOR.020104

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

American Journal of Business and Operations Research | 2021

The CoP’s Role in Introducing New Technology in Cultural Organizations

This study assessed the problem of the development of new technology and knowledge management in cultural organizations. The specific role of the community of practice (CoP) as an instrument of change management and knowledge generation in cultural organizations was considered. In terms of the study problem, qualitative research methods were used for the analysis of the academic literature and practical cases of libraries in Florida. The outcomes of the study demonstrated that the CoP did not play a negative role in the process of new technology integration in cultural organizations. In contrast, CoPs played a serious positive role thus generating ideas for innovations and supporting the personnel of libraries in their development. Concerning sources of barriers, the lack of resources, limited capabilities of librarians, and low support of management were considered the main issues. Further research should identify specific recommendations applicable for the improvement of the situation and sharing of the best experience in the sphere of digital transformation of cultural organizations.

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Eman Alyousuf mail -

Faris Almansour mail

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

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2025

Study of The Period of Infection With The Covid-19 Until Death Using The Triple Left Truncated Exponential Distribution

In this paper, we are concerned with truncated distributions that have multiple truncations,  due to being very useful in representing natural phenomena that cannot be studied at all intervals of their growth or development, for example, phenomena that are related to Agriculture, airplanes, health, and the environment.  left truncation is utilized in this study. The statistical characteristics, such as the rth moments, moment generating function, order statistics,  reliability function, hazard rate function, and reversed  Hazard function, have been introduced. triple left truncated exponential distribution has been applied.  Employed the maximum likelihood method to estimate. Also, the performance of triple left truncated exponential distribution was tested by calculating some statistical criteria and testing the goodness of fit for distribution, with comparisons between the distributions and testing them on real data for patients infected with covid-19.

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Alhasan Kawther mail -

Abad Al-Kadim Kareema mail

link https://doi.org/10.54216/JNFS.100105

Volume & Issue

Vol. Volume 10 / Iss. Issue 1

Details open_in_new

Fusion: Practice and Applications | 2021

CouponCar: An Android Based Application to Automate the Street Parking Payment

In the current system of making a street parking payment in Malaysia, citizens are using a manually paper-based parking coupon that still lacks in terms of the payment process, thus making it difficult for Malaysians to pay for their parking. Therefore, the CouponCar application is proposed to help citizens in Malaysia to pay for their parking with ease. Citizens do not need to buy a parking coupon at the city council or any agents that sell the parking coupon. Instead, the manual system will be replaced by using an android based application where they just need to install the application inside their smartphone, tablet, or any suitable device. This system will also help the officer to check many cars within a short time, whereas they can easily scan the QR code on every car's dashboard. The system was developed using a structured approach and based on activities in the system prototyping model. Overall, this system can facilitate the citizen to make a street parking payments in Malaysia.

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Nur Atifah Hammade mail -

Rozaida Ghazali mail -

Salama A. Mostafa mail -

Bashar Ahmed Khalaf mail

link https://doi.org/10.54216/FPA.060205

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2022

Multi-criteria Decision Making based on EDAS Approach for Business Risk Assessment in Electricity Retail Companies

This paper introduce a multi- criteria decision making (MCDM) perfect to assess business risk in electricity retail company to decrease risk loss and mange risks of business. The evaluation of business risk in electricity company included many conflicting criteria such as risk of political, risk of economic, and risk of market. So, this paper presented an Evaluation based on distance from average solution (EDAS) MCDM method to compute the weights of these criteria and rank the alternatives. Distances between each option and the mean answer on each criteria form the basis of EDAS. It expedites the decision-making process by streamlining the computation of distances to the deal solution. But in this evaluation, there are many imperfect and unclear data. So, the neutrosophic sets is presented to overcome this vague information. The interval valued neutrosophic sets (IVNSs) is a type of neutrosophic sets is presented in this work. 

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Mahmoud Ibrahim mail -

Shereen Zaki mail -

Mahmoud M. Ismail mail

link https://doi.org/10.54216/AJBOR.080102

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

Details open_in_new

Financial Technology and Innovation | 2022

Interval Valued Neutrosophic Sets and Multi-Criteria Decision Making for Sustainable Mobile Healthcare Promotion

The use of health mobile websites or apps on smartphones like mobile-phones has made it possible for users to have quick, inexpensive access to the services of licensed medical professionals. As a result, mobile health care has the potential to lessen the burden on the healthcare system by lowering costs, decreasing wait times, and maximizing the effectiveness of available resources. In order to foster the long-term growth of healthcare infrastructure. This paper introduce the interval valued neutrosophic sets (IVNSs) to overcome the uncertainty. The IVNSs is combined with the MCDM methodology such as TOPSIS method. The TOPSIS technique is used to order the options. In addition to assisting with the selection of the best mobile health care option, this methodology may be used to close the performance gap between competing products and meet customer expectations. There were four distinct categories of mobile health care products investigated.

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Mahmoud M. Ismail mail

link https://doi.org/10.54216/FinTech-I.010101

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new