Grey Systems: Theory and Application (GS) publishes innovative research on grey systems and uncertainty information analysis. Established by Professor Sifeng Liu at Nanjing University of Aeronautics and Astronautics (NUAA) in 2010, GS is currently published in association with Northwestern Polytechnical University (NWPU) and NUAA, and is an official journal of the International Association of Grey System and Uncertainty Analysis.
Aims and scope
Grey Systems: Theory and Application (GS) is devoted to the international advancement of the theory and application of grey systems and uncertainty analysis. It seeks to foster professional exchanges between scientists and practitioners who are interested in the foundations and applications of grey systems and uncertainty analysis. Through the pioneering work completed over recent years, uncertainty-based techniques such as grey systems theory, fuzzy mathematics and rough set have become powerful tools in addressing systems with uncertain information.

Articles published by the journal will explore the theory and applications of grey systems as well as contributions on hybrid approaches combining grey systems with other uncertainty theories, in order to tackle uncertain information more effectively and efficiently. The journal aims to provide state-of-the-art information and case studies on new developments and trends in grey system theory and its potential application to solve practical problems

Coverage includes, but is not limited to:

Foundations of grey systems theory and other uncertain methods
Grey sequence operators
Grey incidence analysis models
Grey clustering evaluations models
Techniques for grey system forecasting
Grey models for decision-making
Combined grey models
Hybrid grey-fuzzy or grey-rough models
Grey input-output models
Techniques for grey control
Applications of grey systems theory and uncertainty analysis