Neutrosophic Systems with Applications最新文献_第3页

ADM: Appraiser Decision Model for Empowering Industry 5.0-Driven Manufacturers toward Sustainability and Optimization: A Case Study 授权工业5.0驱动的制造商实现可持续性和优化的评估决策模型:一个案例研究

Neutrosophic Systems with Applications Pub Date : 2023-10-20 DOI: 10.61356/j.nswa.2023.90

None Gawaher Soliman Hussein, None Abdel Nasser H. Zaied, Mona Mohamed

{"title":"ADM: Appraiser Decision Model for Empowering Industry 5.0-Driven Manufacturers toward Sustainability and Optimization: A Case Study","authors":"None Gawaher Soliman Hussein, None Abdel Nasser H. Zaied, Mona Mohamed","doi":"10.61356/j.nswa.2023.90","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.90","url":null,"abstract":"Whilst it was thought that Industry 4.0 (I 4.0) would support sustainable growth, it overlooked or misinterpreted many current sustainability issues, which gave rise to the Industry 5.0 (I 5.0) agenda. Such a revolution facilitates sustainable development through its three dimensions. Therefore, I 5.0 promotes more effective management of business environment as supply chain resources. Although artificial intelligence (AI) and big data analytics (BDA) are becoming more well-liked in the context of supply chains, research to this day is fragmented into research streams that are mostly determined by the publishing outlet. This study appraises the ability of these techniques in manufacturing enterprises toward sustainability based on a set of criteria. Hence, we identified the criteria which related to AI and BDA. The various techniques as entropy and weighted sum models of multi-criteria decision-making (MCDM) techniques are working under the authority of single values neutrosophic sets (SVNSs) to enhance and boost these techniques in uncertain situations. The constructed appraiser decision model (ADM) is applied to real enterprises to validate this model.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"24 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135567346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

3-Dimensional Quartic Bézier Curve Approximation Model by Using Neutrosophic Approach 用嗜中性方法建立三维四次bsamizier曲线近似模型

Neutrosophic Systems with Applications Pub Date : 2023-10-19 DOI: 10.61356/j.nswa.2023.78

None Siti Nur Idara Rosli, None Mohammad Izat Emir Zulkifly

{"title":"3-Dimensional Quartic Bézier Curve Approximation Model by Using Neutrosophic Approach","authors":"None Siti Nur Idara Rosli, None Mohammad Izat Emir Zulkifly","doi":"10.61356/j.nswa.2023.78","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.78","url":null,"abstract":"In a 3-dimensional data collection process, there exists noise data that cannot be included to visualize the process. Therefore, it is difficult to deal with since fuzzy set and intuitionistic fuzzy set theories did not consider the indeterminacy problem. However, using a neutrosophic approach with three memberships: truth, false, and indeterminacy membership function, the error data will be treated as uncertain data by using the indeterminacy degree. Thus, this study will visualize the 3-dimensional quartic Bézier curve model by using neutrosophic set theory. To construct the model, the neutrosophic quartic control point must first be introduced to approximate the neutrosophic quartic Bézier curve. Next, the Bernstein basis function as the methodology of this study will be blended with the neutrosophic fundamental notion. At the end of this paper, a numerical example of the 3-dimensional neutrosophic quartic Bézier curve will be visualized by using the approximation method as the finding of this study. Finally, this study provides significant contributions to making it easier for data collectors to visualize all data, which means that no data will be eliminated since the uncertainty data will also be used.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135730609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interval-Valued Fermatean Neutrosophic Shortest Path Problem via Score Function 基于分数函数的区间值费马中性最短路径问题

Neutrosophic Systems with Applications Pub Date : 2023-10-13 DOI: 10.61356/j.nswa.2023.83

Said Broumi, None S. krishna Prabha, None Vakkas Uluçay

引用次数: 1

Optimal Agricultural Land Use: An Efficient Neutrosophic Linear Programming Method 农业用地优化利用:一种高效的中性线性规划方法

Neutrosophic Systems with Applications Pub Date : 2023-10-01 DOI: 10.61356/j.nswa.2023.76

Maissam Jdid, Florentin Smarandache

{"title":"Optimal Agricultural Land Use: An Efficient Neutrosophic Linear Programming Method","authors":"Maissam Jdid, Florentin Smarandache","doi":"10.61356/j.nswa.2023.76","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.76","url":null,"abstract":"The increase in the size of the problems facing humans, their overlap, the division of labor, the multiplicity of departments, as well as the diversity of products and commodities, led to the complexity of business and the emergence of many administrative and production problems. It was necessary to search for appropriate methods to confront these problems. The science of operations research, with its diverse methods, provided the optimal solutions. It addresses many problems and helps in making scientific and thoughtful decisions to carry out the work in the best way within the available capabilities. Operations research is one of the modern applied sciences that uses the scientific method as a basis and method in research and study, and its basic essence is to build a model that helps management in making decisions related to difficult administrative problems. For example, the military field, financial aspects, industry, in construction for building bridges and huge projects to evaluate the time taken for each project and reduce this time, financial markets and stocks and forecasting economic conditions, in hospital management and controlling the process of nutrition and medicines within the available capabilities, in agriculture Agricultural marketing and many other problems that have been addressed using classical operations research methods. We know that the agricultural sector is one of the important sectors in every country, and the agricultural production process is regulated by those responsible for securing the needs of citizens. Also, those responsible for the agricultural sector are responsible for rationalizing the agricultural process so that the surplus is saved. Due to the difficult circumstances that the country may be going through, in this research, we will reformulate the general model for the optimal distribution of agricultural lands using the concepts of neutrosophic science.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136115459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Novel Method of Decision Making Based on Plithogenic Contradictions 一种基于生发矛盾的决策新方法

Neutrosophic Systems with Applications Pub Date : 2023-10-01 DOI: 10.61356/j.nswa.2023.58

Nivetha Martin, Florentin Smarandache, None Sudha S

引用次数: 0

Transition Supply Chain 4.0 to Supply Chain 5.0: Innovations of Industry 5.0 Technologies Toward Smart Supply Chain Partners 供应链4.0向供应链5.0过渡:面向智能供应链合作伙伴的工业5.0技术创新

Neutrosophic Systems with Applications Pub Date : 2023-10-01 DOI: 10.61356/j.nswa.2023.74

Mona Mohamed, None Karam M. Sallam, None Ali Wagdy Mohamed

{"title":"Transition Supply Chain 4.0 to Supply Chain 5.0: Innovations of Industry 5.0 Technologies Toward Smart Supply Chain Partners","authors":"Mona Mohamed, None Karam M. Sallam, None Ali Wagdy Mohamed","doi":"10.61356/j.nswa.2023.74","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.74","url":null,"abstract":"Industry 4.0 provides businesses with the tools they need to meet difficulties such as fluctuating demand and unstable markets. Additionally, Industry 4.0 refers to the connectivity of computers, various materials, and artificial intelligence (AI) with minimum involvement from humans in the decision-making process. Although Industry 4.0 has a significant potential for the expansion of the industrial sector, it faces several hurdles, including integration of technology, problems with human resources, problems with supply chains, and data security concerns. The human-centered approach that Industry 5.0 took meant that many of the problems that plagued Industry 4.0 could finally be solved. In the previous generation, known as Industry 4.0, the emphasis was placed on scalability and volume of production; however, in the next generation, known as Industry 5.0, human centricity is the key focus. We have included a list of the different technical improvements that are part of Industry 5.0 as well as the technological advancements that are part of Industry 4.0. The problems that plagued Industry 4.0 have been addressed head-on in Industry 5.0, including concerns over data protection and the integration of new technologies. This study would serve as a foundation for academics and companies to learn about the technologies of Industry 4.0, their obstacles, the technical advancements, and the methods by that Industry 5.0 addressed the issues of Industry 4.0. Also, we constructed an appraiser model to appraise manufacturers as partner in supply chain. We selected manufacturers which are interested in deploying Industry 5.0 in their operation. Analytic Hierarchy Process (AHP) and Complex Proportional Assessment (COPRAS) are contributed to construct appraiser model under authority of uncertainty theory entailed in single value neutrosophic sets (SVNSs) to support AHP and COPRAS in ambiguity situations.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135406747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neutrosophic Bicubic B-spline Surface Interpolation Model for Uncertainty Data 不确定数据的中性双三次b样条曲面插值模型

Neutrosophic Systems with Applications Pub Date : 2023-10-01 DOI: 10.61356/j.nswa.2023.69

None Siti Nur Idara Rosli, None Mohammad Izat Emir Zulkifly

{"title":"Neutrosophic Bicubic B-spline Surface Interpolation Model for Uncertainty Data","authors":"None Siti Nur Idara Rosli, None Mohammad Izat Emir Zulkifly","doi":"10.61356/j.nswa.2023.69","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.69","url":null,"abstract":"Dealing with the uncertainty data problem using neutrosophic data is difficult since certain data are wasted due to noise. To address this issue, this work proposes a neutrosophic set (NS) strategy for interpolating the B-spline surface. The purpose of this study is to visualize the neutrosophic bicubic B-spline surface (NBB-sS) interpolation model. Thus, the principal results of this study introduce the NBB-sS interpolation method for neutrosophic data based on the NS notion. The neutrosophic control net relation (NCNR) is specified first using the NS notion. The B-spline basis function is then coupled to the NCNR to produce the NBB-sS. This surface is then displayed using an interpolation method that comprises surfaces representing truth, indeterminacy, and false membership. There is a numerical example for constructing the NBB-sS using interpolation and will use quantitative data in the form of discrete numerical cases, particularly in neutrosophic numbers. The major conclusion of this study is a mathematical representation of NBB-sS by using the interpolation method was introduced and visualized for a neutrosophic data problem. The scientific value contributed to this study is an acceptance of uncertainty. Therefore, since it incorporates geometric modeling, this work can make a significant contribution to the neutrosophic decision model.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135407223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Heart Disease Prediction under Machine Learning and Association Rules under Neutrosophic Environment 基于机器学习的心脏病预测与中性粒细胞环境下的关联规则

Neutrosophic Systems with Applications Pub Date : 2023-10-01 DOI: 10.61356/j.nswa.2023.75

None Ahmed A. El-Douh, None SongFeng Lu, None Ahmed Abdelhafeez, None Ahmed M. Ali, None Alber S. Aziz

{"title":"Heart Disease Prediction under Machine Learning and Association Rules under Neutrosophic Environment","authors":"None Ahmed A. El-Douh, None SongFeng Lu, None Ahmed Abdelhafeez, None Ahmed M. Ali, None Alber S. Aziz","doi":"10.61356/j.nswa.2023.75","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.75","url":null,"abstract":"Early identification and precise prediction of heart disease have important implications for preventative measures and better patient outcomes since cardiovascular disease is a leading cause of death globally. By analyzing massive amounts of data and seeing patterns that might aid in risk stratification and individualized treatment planning, machine learning algorithms have emerged as valuable tools for heart disease prediction. Predictive modeling is considered for many forms of heart illness, such as coronary artery disease, myocardial infarction, heart failure, arrhythmias, and valvar heart disease. Resource allocation, preventative care planning, workflow optimization, patient involvement, quality improvement, risk-based contracting, and research progress are all discussed as management implications of heart disease prediction. The effective application of machine learning-based cardiac disease prediction models requires collaboration between healthcare organizations, providers, and data scientists. This paper used three tools such as the neutrosophic analytical hierarchy process (AHP) as a feature selection, association rules, and machine learning models to predict heart disease. The neutrosophic AHP method is used to compute the weights of features and select the highest features. The association rules are used to give rules between values in all datasets. Then, we used the neutrosophic AHP as feature selection to select the best feature to input in machine learning models. We used nine machine learning models to predict heart disease. We obtained the random forest (RF) and decision tree (DT) have the highest accuracy with 100%, followed by Bagging, k-nearest neighbors (KNN), and gradient boosting have 99%, 98%, and 97%, then AdaBoosting has 89%, then logistic regression and Naïve Bayes have 84%, then the least accuracy is support vector machine (SVM) has 68%.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135408859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pura Vida Neutrosophic Algebra Pura Vida 中性代数

Neutrosophic Systems with Applications Pub Date : 2023-09-09 DOI: 10.61356/j.nswa.2023.68

None Ranulfo Paiva Barbosa (Sobrinho), Florentin Smarandache

引用次数: 0

Trigonometric Similarity Measures of Pythagorean Neutrosophic Hypersoft Sets 毕达哥拉斯中性超软集的三角相似性测度

Neutrosophic Systems with Applications Pub Date : 2023-09-09 DOI: 10.61356/j.nswa.2023.53

None Ramya G, None Francina Shalini A

引用次数: 0