AIMC Topic: Commerce

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Green Supplier Selection Using Fuzzy Multiple-Criteria Decision-Making Methods and Artificial Neural Networks.

Computational intelligence and neuroscience Sep 30, 2020
In recent years, environmental awareness has increased considerably, and in order to decrease endangerments such as air and water pollution, and also global warming, green procurement should be employed. Therefore, in the assessment of suppliers, the...
Decision Making Commerce Neural Networks, Computer Fuzzy Logic
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Action-specialized expert ensemble trading system with extended discrete action space using deep reinforcement learning.

PloS one Jul 27, 2020
Despite active research on trading systems based on reinforcement learning, the development and performance of research methods require improvements. This study proposes a new action-specialized expert ensemble method consisting of action-specialized...
Reinforcement, Psychology Commerce Investments Models, Economic Databases as Topic Neural Networks, Computer Algorithms Deep Learning Time Factors
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Mid-price prediction based on machine learning methods with technical and quantitative indicators.

PloS one Jun 12, 2020
Stock price prediction is a challenging task, in which machine learning methods have recently been successfully used. In this paper, we extract over 270 hand-crafted features (factors) inspired by technical indicators and quantitative analysis and te...
Commerce Education, Distance Machine Learning Algorithms Logistic Models
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Internet of Things Data Visualization for Business Intelligence.

Big data May 5, 2020
Artificial Intelligence Commerce Data Visualization Publishing Internet of Things
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The Fourth-Revolution in the Water Sector Encounters the Digital Revolution.

Environmental science & technology Apr 6, 2020
The so-called fourth revolution in the water sector will encounter the Big data and Artificial Intelligence (AI) revolution. The current data surplus stemming from all types of devices together with the relentless increase in computer capacity is rev...
Commerce Water Industry Artificial Intelligence Technology
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A Stochastic Multi-Attribute Method for Measuring Sustainability Performance of a Supplier Based on a Triple Bottom Line Approach in a Dual Hesitant Fuzzy Linguistic Environment.

International journal of environmental research and public health Mar 23, 2020
China is a developing country and with the speeding up of its industrialization, the environmental problems are becoming more serious, environmental pollution is a major environmental health problem in China. In order to have a more effective managem...
Commerce Decision Making Linguistics Sustainable Development China Fuzzy Logic
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Forecasting stock prices with long-short term memory neural network based on attention mechanism.

PloS one Jan 3, 2020
The stock market is known for its extreme complexity and volatility, and people are always looking for an accurate and effective way to guide stock trading. Long short-term memory (LSTM) neural networks are developed by recurrent neural networks (RNN...
Humans Neural Networks, Computer Commerce Wavelet Analysis Forecasting Attention
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Pythagorean 2-Tuple Linguistic Taxonomy Method for Supplier Selection in Medical Instrument Industries.

International journal of environmental research and public health Dec 3, 2019
Supplier selection in medical instrument industries is a classical multiple attribute group decision making (MAGDM) problem. The Pythagorean 2-tuple linguistic sets (P2TLSs) can reflect uncertain or fuzzy information well and solve the supplier selec...
Equipment and Supplies Industry Commerce Linguistics Fuzzy Logic Decision Making
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Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations.

PloS one Oct 10, 2019
Stock price prediction is a popular yet challenging task and deep learning provides the means to conduct the mining for the different patterns that trigger its dynamic movement. In this paper, the task is to predict the close price for 25 companies e...
Deep Learning Romania Computer Simulation Time Factors Investments Neural Networks, Computer Heuristics Reproducibility of Results Algorithms Commerce
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Spatial-temporal variation characteristics and evolution of the global industrial robot trade: A complex network analysis.

PloS one Sep 26, 2019
Industrial robots are a strategic future technology and an important part of the development of artificial intelligence, and they are a necessary means for the intelligent transformation of manufacturing industry. Based on global industrial robot tra...
Artificial Intelligence Spatio-Temporal Analysis Italy Germany Japan Commerce China Robotics
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