Guest Editors
Dr. ChunYueh Lin, National Taipei University of Business, Taiwan.
Dr. Harish Garg, Thapar Institute of Engineering & Technology, Deemed University, India.
Dr. Witold Pedrycz, University of Alberta, Canada.
Summary
The intelligent control in management and economics has continued to challenge research for over 21 centuries. Particularly, the COVID-19 pandemic has changed the service model and business model in this world. The novel applications and analysis on computer modeling or intelligent control for customers in this pandemic are more important. Therefore, many industries have concentrated on the applications of intelligent control and implemented the big data concepts into their operational processes to resistance the hardship environment. Recently, much of the machine learning, deep learning works etc. on the management and economics field for industries have focused volume, speed and accuracy to consider the size of the database. Indeed, the basis of intelligent control which includes the variety, speed, performance and efficient forecasting is important in improving the decision-making process, diversity, and complexity of data in intelligent control, where the technologies of integration of intelligent information are able to explore the applications in management and economics.
Therefore, the purpose of this Special Issue is to establish a collection of high-quality original research that constructs novel insights into the applications of intelligent control for academic and industrial stakeholders.
Keywords
Decision support system, Bit data, Data analysis, Artificial intelligence, Fuzzy control
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