František Zapletal,Miroslav Hudec,Miloš Švaňa et al.
František Zapletal et al.
Valuable information for decision-making can be obtained by collecting and analyzing opinions from diverse stakeholder or respondent groups, which usually have different backgrounds and are variously affected by the topics under survey. For...
Bo-Lun Chen,Ben Yuan,Win-Xin Jiang et al.
Bo-Lun Chen et al.
In recent years, the new type of coronary pneumonia (COVID-19) has become a highly contagious disease worldwide, posing a serious threat to the public health. This paper is based on the SEIR model of the new coronavirus pneumonia, consideri...
Shui-Hua Wang,Suresh Chandra Satapathy,Man-Xia Xie et al.
Shui-Hua Wang et al.
COVID-19 is a positive-sense single-stranded RNA virus caused by a strain of coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Several noteworthy variants of SARS-CoV-2 were declared by WHO as Alpha, Beta, Gamma, De...
Predicting COVID-19 using lioness optimization algorithm and graph convolution network [0.03%]
基于狮NESS优化算法和图卷积网络预测COVID-19
Dong Li,Xiaofei Ren,Yunze Su
Dong Li
In this paper, a graph convolution network prediction model based on the lioness optimization algorithm (LsOA-GCN) is proposed to predict the cumulative number of confirmed COVID-19 cases in 17 regions of Hubei Province from March 23 to Mar...
Forecast combination approach with meta-fuzzy functions for forecasting the number of immigrants within the maritime line security project in Turkey [0.03%]
基于元模糊函数的预测组合方法在土耳其海上线路安全项目中的移民人数预测应用
Fatma Carman Cevik,Basak Gever,Nihat Tak et al.
Fatma Carman Cevik et al.
In this study, forecasting the number of immigrants on the Turkey's maritime line for use in a national security project carried out by Turkish Government within the scope of fight against uncontrolled immigration is discussed for the first...
A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection [0.03%]
用于COVID-19感染检测的具有新颖微调机制的MobileNet基础CNN模型
Yasin Kaya,Ercan Gürsoy
Yasin Kaya
COVID-19 is a virus that causes upper respiratory tract and lung infections. The number of cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a disease in a timely manner, the researchers have focused on...
Retraction Note: Optimization model design of cross-border e-commerce transportation path under the background of prevention and control of COVID-19 pneumonia [0.03%]
撤稿通知：重新设计跨境电子商务运输路径的优化模型以应对COVID-19肺炎的防控背景
Abuduaini Abudureheman,Aishanjiang Nilupaer
Abuduaini Abudureheman
[This retracts the article DOI: 10.1007/s00500-021-05685-6.]. © The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Natu...
Retraction of Publication
Soft computing. 2023;27(3):1843. DOI:10.1007/s00500-022-07782-6 2023
A combination of ridge and Liu regressions for extreme learning machine [0.03%]
极端学习机中Ridge和Liu回归的组合
Hasan Yıldırım,M Revan Özkale
Hasan Yıldırım
Extreme learning machine (ELM) as a type of feedforward neural network has been widely used to obtain beneficial insights from various disciplines and real-world applications. Despite the advantages like speed and highly adaptability, insta...
Evaluation of the route selection in international freight transportation by using the CODAS technique based on interval-valued Atanassov intuitionistic sets [0.03%]
基于区间值Atanassov直觉集的CODAS技术在国际货运运输路线选择中的应用及评价
Dragan Pamucar,Ömer Faruk Görçün,Hande Küçükönder
Dragan Pamucar
The selection of a proper international freight transport route is one of the crucial tasks for decision-makers since it can affect costs, efficiency, and transportation performance. Besides, the selection of suitable and appropriate freigh...
Tien-Chin Wang,Shu-Li Huang
Tien-Chin Wang
The effectiveness of preference relations in modeling decision-making processes makes it one of the most common representations of information use for solving decision-making problems. This research presents the fuzzy incomplete linguistic ...