An integrated group decision-making method for the evaluation of hypertension follow-up systems using interval-valued q-rung orthopair fuzzy sets [0.03%]
区间值q-正则直项模糊集合在高血压随访系统评价中的一体化群决策方法
Benting Wan,Zhaopeng Hu,Harish Garg et al.
Benting Wan et al.
It is imperative to comprehensively evaluate the function, cost, performance and other indices when purchasing a hypertension follow-up (HFU) system for community hospitals. To select the best software product from multiple alternatives, in...
Can financial stress be anticipated and explained? Uncovering the hidden pattern using EEMD-LSTM, EEMD-prophet, and XAI methodologies [0.03%]
财务压力能否被预见和解释？使用EEMD-LSTM、EEMD- prophet和XAI方法揭示隐藏的模式
Indranil Ghosh,Pamucar Dragan
Indranil Ghosh
Global financial stress is a critical variable that reflects the ongoing state of several key macroeconomic indicators and financial markets. Predictive analytics of financial stress, nevertheless, has seen very little focus in literature a...
Assessment of regional economic restorability under the stress of COVID-19 using the new interval type-2 fuzzy ORESTE method [0.03%]
基于新型区间二型模糊ORESTE方法评估COVID-19压力下的区域经济恢复力
Hui Zhang,Hui Gao,Peide Liu
Hui Zhang
The economic implications from the COVID-19 crisis are not like anything people have ever experienced. As predictions indicated, it is not until the year 2025 may the global economy recover to the ideal situation as it was in 2020. Regions ...
The differential measure for Pythagorean fuzzy multiple criteria group decision-making [0.03%]
Pythagorean模糊多准则群决策的差异测度方法
Iman Mohamad Sharaf
Iman Mohamad Sharaf
Pythagorean fuzzy sets (PFSs) proved to be powerful for handling uncertainty and vagueness in multi-criteria group decision-making (MCGDM). To make a compromise decision, comparing PFSs is essential. Several approaches were introduced for c...
A swarm-optimizer-assisted simulation and prediction model for emerging infectious diseases based on SEIR [0.03%]
基于SEIR的新型传染病模拟与预测模型及群优化算法辅助分析研究
Xuan-Li Shi,Feng-Feng Wei,Wei-Neng Chen
Xuan-Li Shi
Mechanism-driven models based on transmission dynamics and statistic models driven by public health data are two main methods for simulating and predicting emerging infectious diseases. In this paper, we intend to combine these two methods ...
Correction to: A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects [0.03%]
Correction to：“新冠肺炎疫情影响下的医疗领域：全球市场实施、应用、安全和隐私问题、挑战及未来前景的调查报告”
Tanzeela Shakeel,Shaista Habib,Wadii Boulila et al.
Tanzeela Shakeel et al.
[This corrects the article DOI: 10.1007/s40747-022-00767-w.]. © The Author(s) 2022.
Published Erratum
Complex & intelligent systems. 2023;9(2):2205. DOI:10.1007/s40747-022-00888-2 2023
Integrated scheduling of distributed production and distribution in group manufacturing with uncertain travel time [0.03%]
不确定旅行时间下集团制造分布式产销一体调度问题
Jun Guo,Wenjun Liu,Zhao Peng et al.
Jun Guo et al.
This paper presents a novel integrated distributed production and distribution scheduling problem in group manufacturing with uncertain travel time (IDPDSP-GM-UTT), in which products are firstly produced in several distributed hybrid flow s...
Hybridizing slime mould algorithm with simulated annealing algorithm: a hybridized statistical approach for numerical and engineering design problems [0.03%]
混合黏菌算法与模拟退火算法：数值和工程设计问题的混合统计方法
Leela Kumari Ch,Vikram Kumar Kamboj,S K Bath
Leela Kumari Ch
The existing slime mould algorithm clones the uniqueness of the phase of oscillation of slime mould conduct and exhibits slow convergence in local search space due to poor exploitation phase. This research work exhibits to discover the best...
Graph neural networks and cross-protocol analysis for detecting malicious IP addresses [0.03%]
基于图神经网络和跨协议分析的恶意IP地址检测方法研究
Yonghong Huang,Joanna Negrete,John Wagener et al.
Yonghong Huang et al.
An internet protocol (IP) address is the foundation of the Internet, allowing connectivity between people, servers, Internet of Things, and services across the globe. Knowing what is connecting to what and where connections are initiated is...
A fast and efficient algorithm for DNA sequence similarity identification [0.03%]
一种快速高效的DNA序列相似性识别算法
Machbah Uddin,Mohammad Khairul Islam,Md Rakib Hassan et al.
Machbah Uddin et al.
DNA sequence similarity analysis is necessary for enormous purposes including genome analysis, extracting biological information, finding the evolutionary relationship of species. There are two types of sequence analysis which are alignment...