Data fusion in cyber-physical-social systems: State-of-the-art and perspectives.

• This paper analyzes data collection and representation in CPSS and proposes to use tensors to represent CPSS data. • This paper reviews some representative data fusion methods related to CPSS. • This paper proposes a series of tensor based data fusion methods for CPSS data. • This paper reviews the design of data fusion frameworks and proposes a comprehensive data fusion framework for CPSS. Cyber-Physical-Social systems (CPSSs) are the extension of Cyber-Physical systems (CPS), which seamlessly integrate cyber space, physical space and social space. CPSSs promote the information resource from single space to tri-space, so as to lead a revolution in data science (DS). This paper aims to provide a comprehensive review of data fusion in CPSSs for readers. We firstly analyze data collection and representation in CPSS and propose to use tensors to represent CPSS data, then a general definition of CPSS data fusion is proposed to clarify the concept of information fusion in CPSS. After that, some representative data fusion methods related to CPSS are reviewed. Furthermore, we propose a series of tensor based data fusion methods for CPSS data. Also, we review the design of data fusion frameworks and propose a comprehensive data fusion framework for CPSS. Some challenges and future works are discussed as well. [ABSTRACT FROM AUTHOR]