About this Research Topic
The United Nations Framework Convention on Climate Change and the Paris Agreement is a global consensus to achieve carbon peak and carbon neutral development. According to the International Energy Agency, manufacturing was one of the major sector contributors to global carbon emissions in 2020, accounting for about 17%. Technological innovation is the driving force to support the sustainable development of manufacturing industry. In recent years, digital technology plays a crucial role in manufacturing industry’s response to the dual challenges of green upgrading and digital transformation. Green innovation is a process of green technology, product, and process innovation, as well as the corresponding organization, management, and system innovation. Digital technology is empowered to form digital green innovation in the field of green innovation. When it is necessary to evaluate and model human knowledge in digital green innovation, fuzzy set theory is usually the most suitable.
Various elements in the digital green innovation system of manufacturing industry interweave with each other to form an organic whole, which has the characteristics of dynamic, complex, nonlinear, and delayed. However, there are some limitations in using traditional quantitative methods to describe it, so we must find a dynamic analysis tool that can match its characteristics. Fuzzy set theory is one of the key tools to solve this problem and help to explain the complex environment of digital green innovation management. Therefore, the application of fuzzy system model to solve the problems in digitization and green innovation management is conducive to the in-depth study of social science and promote the development of manufacturing engineering.
This Research Topic aims to collate original research articles that report on recent advancements in fuzzy models for digital green innovation in engineering processes, and practical achievements in the broad field.
Potential topics to be covered:
• Fuzzy applications in the improvement of industrial production
• Fuzzy expert systems in the forefront of the associated developments
• Application of fuzzy system dynamics model in sustainable development
• Fuzzy theory and its application in manufacturing engineering
• Fuzzy adaptive control, fuzzy state estimation and fuzzy fault diagnosis
• Fuzzy manufacturing engineering in digital green development
• Fuzzy statistical decision-making of digital green innovation
• Application of fuzzy system models in digital green innovation
• Fuzzy applicable system and its application in digital green alliance
• Application of digital network analysis in digital innovation
• Hydrodynamic fuzzy model and its application in digital green innovation
Various elements in the digital green innovation system of manufacturing industry interweave with each other to form an organic whole, which has the characteristics of dynamic, complex, nonlinear, and delayed. However, there are some limitations in using traditional quantitative methods to describe it, so we must find a dynamic analysis tool that can match its characteristics. Fuzzy set theory is one of the key tools to solve this problem and help to explain the complex environment of digital green innovation management. Therefore, the application of fuzzy system model to solve the problems in digitization and green innovation management is conducive to the in-depth study of social science and promote the development of manufacturing engineering.
This Research Topic aims to collate original research articles that report on recent advancements in fuzzy models for digital green innovation in engineering processes, and practical achievements in the broad field.
Potential topics to be covered:
• Fuzzy applications in the improvement of industrial production
• Fuzzy expert systems in the forefront of the associated developments
• Application of fuzzy system dynamics model in sustainable development
• Fuzzy theory and its application in manufacturing engineering
• Fuzzy adaptive control, fuzzy state estimation and fuzzy fault diagnosis
• Fuzzy manufacturing engineering in digital green development
• Fuzzy statistical decision-making of digital green innovation
• Application of fuzzy system models in digital green innovation
• Fuzzy applicable system and its application in digital green alliance
• Application of digital network analysis in digital innovation
• Hydrodynamic fuzzy model and its application in digital green innovation
Keywords: fuzzy set, fuzzy decision, fuzzy system optimization, digital innovation management, green innovation management, intelligent manufacturing, digital transformation, green transformation, intelligent transformation, innovation ecosystem, digital economy, g
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