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Grey Systems

Grey Systems

Theory and Application

ISSN: 2043-9377

This journal is a Hybrid Open Access journal
Full text online
Content: Table of Contents  
Information: Journal information  |  Editorial Team  |  Author Guidelines
Other: Journal News (inc. calls for papers)  |  Recommend this journal

Emerging Sources
Citation Index

Logo: GSUA.

An official journal of the International Association of Grey System and Uncertain Analysis*

Aims & scope

Grey Systems: Theory and Application 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.


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 


Both scientists and practitioners can exchange ideas and publish new discoveries on a vast array of topics and issues in grey system theory

  • Provides state-of-art information on new developments and trends in grey system theory
  • Considers case studies and the application of grey systems theory to solve practical problems

Key journal audience

Specifically, the journal will be of interest to:

  • Academic researchers including professors/associate professor; Senior lecturers/lecturers and other members of staff (e.g. research fellows, research associates, postdoctoral fellows)
  • Practitioner working in consulting companies; government officials
  • Undergraduate, Master’s and PhD students in various majors such as Management Sciences, Industrial Engineering and Business

Grey Systems is indexed and abstracted in:

  • Emerging Sources Citation Index (ESCI)
  • ReadCube Discover
  • Summon

 *Emerald is not responsible for the content of third party sites

Grey Systems is available as part of an online subscription to the Emerald Engineering eJournals Collection. For more information, please email [email protected] or visit the Emerald Engineering eJournals Collection page.

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This journal is a member of and subscribes to the principles of the Committee on Publication Ethics. More on Emerald's approach is available in our Publication Ethics guidelines.