Abstract

Big data and intelligent decision methods in economy, innovation and sustainable development. Technological and Economic Development of Economy, 26(5), pp. 970-973.

Highlights

  • With the development of computer technology, Internet, the Internet of things, 5G, artificial intelligence, and economic globalization, research modes and means in economy, management, business, innovation, and social science have been demand to change from traditional qualitative and quantitative methods to big data analysis and intelligent decision methods, such as fuzzy cognition, data mining, correlation/association analysis, fuzzy reasoning, evidence theory, multiple agent modeling, artificial intelligence modeling, intelligent computing, Heuristic algorithm, computational experiment method, clustering analysis, neural network analysis, deep learning, and so on

  • Big data and intelligent decision methods in economy, innovation, business, management, and sustainable development have become promising in the past several years and provide a variety of techniques to the development of economy, innovation, business, management, and sustainable development

  • This special issue of Technological and Economic Development of Economy entitled “Big Data and Intelligent Decision Methods in Economy, Innovation and Sustainable Development” focuses on the up-to-date modeling, analysis, computation, and synthesis algorithms and approaches concerning big data and intelligent decision making problems, including theoretical, empirical, and experimental works related to big data and intelligent decision methods and associated applications in economy, innovation, business, management, and sustainable development

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Summary

Introduction

BIG DATA AND INTELLIGENT DECISION METHODS IN ECONOMY, INNOVATION With the development of computer technology, Internet, the Internet of things, 5G, artificial intelligence, and economic globalization, research modes and means in economy, management, business, innovation, and social science have been demand to change from traditional qualitative and quantitative methods to big data analysis and intelligent decision methods, such as fuzzy cognition, data mining, correlation/association analysis, fuzzy reasoning, evidence theory, multiple agent modeling, artificial intelligence modeling, intelligent computing, Heuristic algorithm, computational experiment method, clustering analysis, neural network analysis, deep learning, and so on.

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Conclusion

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