Interval-valued hesitant fuzzy TODIM method for dynamic emergency responses [0.03%]
基于区间犹豫模糊TODIM的动态应急决策方法研究
Quanyu Ding,Mark Goh,Ying-Ming Wang
Quanyu Ding
Emergency responses bear the characteristics of uncertainty and possess multi-attributes in decision making. This paper applies the interval evidential reasoning approach and the interval-valued hesitant fuzzy TODIM (IVHF-TODIM) method to t...
Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models [0.03%]
集成人工神经网络和元启发式算法的股票价格预测与时间序列模型比较
Milad Shahvaroughi Farahani,Seyed Hossein Razavi Hajiagha
Milad Shahvaroughi Farahani
Today, stock market has important function and it can be a place as a measure of economic position. People can earn a lot of money and return by investing their money in the stock exchange market. But it is not easy because many factors sho...
Multi-agent reinforcement learning approach for hedging portfolio problem [0.03%]
基于多智能体强化学习的避险投资组合策略研究
Uyen Pham,Quoc Luu,Hien Tran
Uyen Pham
Developing a hedging strategy to reduce risk of losses for a given set of stocks in a portfolio is a difficult task due to cost of the hedge. In Vietnam stock market, cross-hedge is involved hedging a long position of a stock because there ...
Three-class brain tumor classification using deep dense inception residual network [0.03%]
基于深度密集残差Inception网络的三分类脑肿瘤识别方法
Srinath Kokkalla,Jagadeesh Kakarla,Isunuri B Venkateswarlu et al.
Srinath Kokkalla et al.
Three-class brain tumor classification becomes a contemporary research task due to the distinct characteristics of tumors. The existing proposals employ deep neural networks for the three-class classification. However, achieving high accura...
Detection of price bubbles in Istanbul housing market using LSTM autoencoders: a district-based approach [0.03%]
基于区位的伊斯坦布尔房价泡沫检测：一种LSTM自编码方法
Ebubekir Ayan,Süleyman Eken
Ebubekir Ayan
Since the early 2000s, there has been a long-term price increase trend in the Istanbul housing market, and this situation also has led to price bubble speculations. Since the housing sector was caught with a high level of unsold housing sto...
The prediction of the lifetime of the new coronavirus in the USA using mathematical models [0.03%]
基于数学模型预测美国新冠病毒的流行终止时间
K Selvakumar,S Lokesh
K Selvakumar
The World Health Organization (WHO) on December 31, 2019, was informed of several cases of respiratory diseases of unknown origin in the city of Wuhan in the Chinese Province of Hubei, the clinical manifestations of which were similar to th...
Jafar Tavoosi,Ardashir Mohammadzadeh,Kittisak Jermsittiparsert
Jafar Tavoosi
In many engineering problems, the systems dynamics are uncertain, and then, the accurate dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively used in system identification problems, because of their strong es...
Optimization model design of cross-border e-commerce transportation path under the background of prevention and control of COVID-19 pneumonia [0.03%]
新冠肺炎防控背景下跨境电子商务运输路径优化模型设计
Abuduaini Abudureheman,Aishanjiang Nilupaer
Abuduaini Abudureheman
In order to better accelerate the transition from traditional trade to cross-border e-commerce, a cross-border e-commerce transportation route optimization model was designed in the context of the prevention and control of new crown pneumon...
İlker Karadağ,Muhammed Emre Keskin,Vecihi Yiğit
İlker Karadağ
This research analyses the re-organization of a blood supply chain organization. Blood supply chain network design is a hard problem. Uncertainties of the blood supply and demand, perishability of blood over time and compatibility of blood ...
Study on e-commerce logistics cost control methods in the context of COVID-19 prevention and control [0.03%]
新冠肺炎防控背景下的电子商务物流成本控制研究
Qi Ding,Huimin Zhao
Qi Ding
The severe situation caused by THE COVID-19 epidemic has not only hindered the steady development of social economy, but also had a great impact on the development of e-commerce logistics. For e-commerce enterprises, logistics cost is an im...