International Journal of Nonlinear Analysis and Applications最新文献_第9页

A numerical scheme for solving nonlinear parabolic partial differential equations with piecewise constant arguments 求解具有分段常数参数的非线性抛物型偏微分方程的数值格式

International Journal of Nonlinear Analysis and Applications Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2021.23741.2608

Mojgan Esmailzadeh, J. Alavi, H. Najafi

引用次数: 1

Industry 4.0 technologies assessment: An integrated reverse supply chain model with the whale optimization algorithm 工业4.0技术评估:基于鲸鱼优化算法的集成逆向供应链模型

International Journal of Nonlinear Analysis and Applications Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2021.25194.2943

Sharareh Mohajeri, F. Harsej, Mahboubeh Sadeghpour, Jahanfar khaleghi nia

{"title":"Industry 4.0 technologies assessment: An integrated reverse supply chain model with the whale optimization algorithm","authors":"Sharareh Mohajeri, F. Harsej, Mahboubeh Sadeghpour, Jahanfar khaleghi nia","doi":"10.22075/IJNAA.2021.25194.2943","DOIUrl":"https://doi.org/10.22075/IJNAA.2021.25194.2943","url":null,"abstract":"In recent years, integrated reverse supply chain practices have been adopted by companies that desire to reduce the negative environmental and social impacts within their supply chains. models and solutions assisted by industry 4.0 technologies have been developed to transform products in the end of their life cycle into new products with different use. There are several methods with different technologies to recycle the wastes, which have been selected and weighted based on the indicators of the industry 4.0 revolution and the wastes sent to recycling centers based on the technology weight. The understudy model is multi-objective, including minimizing transportation costs and environmental effects and maximizing customer response demand. The whale optimization algorithm and the NSGA-II algorithm were also used to solve this model. The results obtained from whale optimization and genetic algorithms have been comprised of each other through comparative indicators of quality, dispersion, uniformity, and solving time. The results showed that the whale algorithm has a higher ability to explore and extract possible points and achieve optimal solutions in all cases. The NSGA-II algorithm was also superior to the whale algorithm in terms of uniformity and solving time. The investigation of changes in solving time with increasing problem size was another confirmation of the NP-hard nature of the understudied problem.","PeriodicalId":14240,"journal":{"name":"International Journal of Nonlinear Analysis and Applications","volume":"13 1","pages":"1803-1825"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68120410","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

Counting of Conjugacy classes in partial transformation semigroup. 部分变换半群中共轭类的计数。

International Journal of Nonlinear Analysis and Applications Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2021.24082.2666

A. Shah, Mohd Rafiq Parray, Dilawar Juneed Mir

引用次数: 0

Developing bulk arrival queuing models with the constant batch policy under uncertainty data using (0 - 1) variables 在不确定数据下使用(0 - 1)变量建立具有恒定批策略的批量到达排队模型

International Journal of Nonlinear Analysis and Applications Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2022.5653

Zeina Mueen

{"title":"Developing bulk arrival queuing models with the constant batch policy under uncertainty data using (0 - 1) variables","authors":"Zeina Mueen","doi":"10.22075/IJNAA.2022.5653","DOIUrl":"https://doi.org/10.22075/IJNAA.2022.5653","url":null,"abstract":"This paper delves into some significant performance measures (PMs) of a bulk arrival queueing system with constant batch size b, according to arrival rates and service rates being fuzzy parameters. The bulk arrival queuing system deals with observation arrival into the queuing system as a constant group size before allowing individual customers entering to the service. This leads to obtaining a new tool with the aid of generating function methods. The corresponding traditional bulk queueing system model is more convenient under an uncertain environment. The $alpha$-cut approach is applied with the conventional Zadeh's extension principle (ZEP) to transform the triangular membership functions (Mem. Fs) fuzzy queues into a family of conventional bulkqueues. This new model focus on mixed-integer non-linear programming (MINLP) tenders a mathematical computational approach is known as (0 -1) variables. To measures the efficiency of the method, the efficient solution strategy plays a crucial role in the adequate application of these techniques. Furthermore, different stages of the $alpha$-cut intervals were analyzed and the final part of the article gives a numerical solution of the proposed model to achieve practical issues.","PeriodicalId":14240,"journal":{"name":"International Journal of Nonlinear Analysis and Applications","volume":"13 1","pages":"1113-1121"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68126513","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

On proximally closed mapping 关于近闭映射

International Journal of Nonlinear Analysis and Applications Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2022.5659

Saad Mahdi Jaber, Marwah Yasir Mohsin

引用次数: 0

The accrual anomaly analysis at different stages of the corporate life cycle of companies listed on the Tehran stock exchange 德黑兰证券交易所上市公司生命周期不同阶段应计盈余异常分析

International Journal of Nonlinear Analysis and Applications Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2022.5677

M. Ostad, M. Dastgir, Shukrollah Khajavi

引用次数: 0

Multi-class LDA classifier and CNN feature extraction for student performance analysis during Covid-19 pandemic 基于多类LDA分类器和CNN特征提取的学生成绩分析

International Journal of Nonlinear Analysis and Applications Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2022.5710

S. RasheedMansoorAli, S. Perumal

{"title":"Multi-class LDA classifier and CNN feature extraction for student performance analysis during Covid-19 pandemic","authors":"S. RasheedMansoorAli, S. Perumal","doi":"10.22075/IJNAA.2022.5710","DOIUrl":"https://doi.org/10.22075/IJNAA.2022.5710","url":null,"abstract":"In our modern world, education is essential for developing high moral values and excellence in individuals. But the spread of Covid-19 widely affects the student’s education, the majority of students have continued their education via online learning platforms. The academic performance of students has been sluggish across the globe during this pandemic. This problem is solved using a multiclass Linear Discriminant Analysis (LDA) and Convolutional Neural Network (CNN) model which predicts the student learning rate and behavior. This research aims to classify the students’ performance into low, medium, and high grades in order to assist tutors in predicting the low-ranking students. The student data log is collected from the Kaggle student performance analysis dataset and pre-processed to remove the noise and non-redundance data. By analyzing the pre-processed data, the CNN extracts feature that are based on student interest and subjective pattern sequences. Then extracted features are filtered by the Minimum Redundancy Maximum Relevance(mRMR) method. mRMR selects the best features and dilutes the least one which handles each feature separately. The feature weights are measured by Stochastic Gradient Descent (SGD) and updated for better feature learning by CNN. At the last stage, the Multi-class LDA classifier evaluates the result into categorized classes. Based on the prediction, the tutors can easily find the low ranks of students who need a high preference for improving their academic performance. Experiments showed that the proposed model achieves greater accuracy (96.5%), precision (094), recall (092), F-score (095), and requires less computation time than existing methods.","PeriodicalId":14240,"journal":{"name":"International Journal of Nonlinear Analysis and Applications","volume":"13 1","pages":"1329-1339"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68126838","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

Fixed Point Results in Complex Valued Metric Spaces and an Application 复值度量空间中的不动点结果及其应用

International Journal of Nonlinear Analysis and Applications Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2020.16034.1843

R. Rashwan

引用次数: 0

$ omega $-$ alpha $-open sets $ omega $-$ alpha $-continuity in bitopological spaces 二元拓扑空间上的$ $-$ α -开集$ $-$ α -连续性

International Journal of Nonlinear Analysis and Applications Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2020.21599.2279

C. Granados

引用次数: 0

Some trapezoid type inequalities for generalized fractional integral 广义分数阶积分的一些梯形不等式

International Journal of Nonlinear Analysis and Applications Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2019.16038.1844

Fatma Ertuğral, M. Sarıkaya

引用次数: 1