ASPG Menu
search

American Scientific Publishing Group

Research Feed

Found 3841 matches for "All Articles"
International Journal of Neutrosophic Science | 2021

On Some Properties of Interior, Closure, Boundary and Exterior of Neutrosophic Multi Topological Space

This paper introduced the concept of neutrosophic multi topological space. The definitions of the interior, closure, exterior, and boundary of neutrosophic multiset is defined and also, its propositions will be studied with examples. 

groups
Bhimraj Basumatary mail -
Nijwm Wary mail -
Said Broumi mail
link https://doi.org/10.54216/IJNS.170102

Volume & Issue

Vol. Volume 17 / Iss. Issue 1

Details open_in_new
International Journal of Neutrosophic Science | 2021

Multi-criteria Decision-making Applications Based on Set Valued Generalized Neutrosophic Quadruple Sets for Law

In this article, an algorithm has been introduced that enables judges to see the decisions that should be made in a way that is closest to the conscience and the law, without transferring the cases to the higher authorities, without anyone objecting to their decisions. This algorithm has been introduced depending on the generalized set-valued neutrosophic quadruple numbers and the Euclidean similarity measure in sets, what the decision is made by considering all the situations, regardless of which case the defendants come before the judge, how similar these decisions are to the legal decisions that should be made. In this way, we can easily see the decisions given to the accused in all kinds of cases, and we can arrange the decisions according to the similarity value. The closer the similarity value is to 1, the more correct the judge's decision from a legal point of view.

groups
Necmiye Merve Sahin mail -
Merve Sena Uz mail
link https://doi.org/10.54216/IJNS.170103

Volume & Issue

Vol. Volume 17 / Iss. Issue 1

Details open_in_new
International Journal of Neutrosophic Science | 2021

Neutrosophic Bi-topological Group

Neutrosophic topological groups are neutrosophic groups in an algebraic sense together with neutrosophic continuous group operations. In this article, we have presented neutrosophic bi-topological groups with illustrative examples. We have also defined eight new models of neutrosophic bi-topological groups. Neutrosophic bi-topological group that depends on two neutrosophic topologies group is more general than the neutrosophic topological group. Finally, Some basic properties of neutrosophic bi-topological groups were studied.

groups
Riad K. Al-Hamido mail
link https://doi.org/10.54216/IJNS.170104

Volume & Issue

Vol. Volume 17 / Iss. Issue 1

Details open_in_new
International Journal of Neutrosophic Science | 2021

n-Valued Refined Neutrosophic Crisp Sets

The main purpose of this manuscript is to expand the notion of neutrosophic crisp set (NCS) by presenting the notion of n-valued refined neutrosophic crisp set with some illustration examples. We also establish some of its set-theoretical operations.

groups
Ahmed B. AL-Nafee mail -
Said Broumi mail -
Luay A. Al-Swidi mail
link https://doi.org/10.54216/IJNS.170201

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

Details open_in_new
International Journal of Neutrosophic Science |

A New Approach Of Supra-Neutrosophic Topological space

In this new paper, we introduced new and important concepts in neutrosophic topology for the first time. Where we introduced the interesting concept "a new approach of neutrosophic supra-topological space (ŠNǺ-NTS)", that we presented this neutrosophic supra-topological space without using neutrosophic sets, and we also studied the separation axioms in this new neutrosophic supra-space and studied the relationship between the new separation axioms in (ŠNǺ-NTS) and the separation axioms of the previously known supra-topological space. We also defined the neutrosophic supra-topological sup-space from this new space. We prove that ŠNǺ-NTS is not a classical supra-topological space. Also, ŠNǺ-NTS is neither neutrosophic supra-topological space nor neutrosophic crisp topological space. Many examples and theories are presented.

groups
RiadKAlHamido mail
link

Volume & Issue

Details open_in_new
American Journal of Business and Operations Research | 2023

A Decision Support System for Credit Risk Assessment using Business Intelligence and Machine Learning Techniques

Credit risk assessment is a critical task for financial institutions to determine the creditworthiness of their potential customers. Business intelligence (BI) and machine learning (ML) techniques have gained popularity in recent years as effective tools for credit risk assessment. In this paper, we propose a decision support system (DSS) for credit risk assessment that integrates BI and ML techniques. The proposed DSS employs BI tools to extract and transform data from various sources, and ML techniques to analyze the data and generate predictive models for credit risk assessment. We evaluate the proposed DSS using a real-world dataset of a financial institution. The results show that the proposed DSS achieves a high level of accuracy in credit risk assessment. The results showed that the system was able to accurately predict credit risk, with an accuracy of 88%. The system also outperformed traditional credit scoring models, which highlights the potential of our system for credit risk assessment. The system provides decision-makers with actionable insights to make informed decisions, thereby reducing the risk of default and increasing the profitability of the financial institution.

groups
Khyati Chaudhary mail -
Gopal Chaudhary mail
link https://doi.org/10.54216/AJBOR.100204

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new
American Journal of Business and Operations Research | 2023

A Comparative Analysis of Traditional Forecasting Methods and Machine Learning Techniques for Sales Prediction in E-commerce

This paper presents a comparative analysis of traditional forecasting methods and machine learning (ML) techniques for sales prediction in e-commerce.  We first review the literature on both traditional and ML methods for sales prediction in e-commerce, highlighting their strengths and weaknesses. The study uses a dataset of daily sales from an e-commerce retailer to conduct a comprehensive empirical study thar compares the performance of literature methods from both categories. The analysis considers different forecasting horizons and evaluates the accuracy of the predictions using various performance metrics, such as mean absolute error and mean squared error. The study finds that ML techniques generally outperform traditional methods, especially for longer forecasting horizons. However, some traditional methods, such as the Holt-Winters method, can also perform well under certain conditions. Our study provides insights into the relative strengths and weaknesses of traditional and ML methods for sales prediction in e-commerce and can guide practitioners in selecting appropriate methods for their specific requirements.

groups
Irina V. Pustokhina mail -
Denis A. Pustokhin mail
link https://doi.org/10.54216/AJBOR.100205

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new