Advances in grey systems theory and its applications

The scientific background that grey systems theory comes into being, the astonishing progress that grey systems theory has made in the world of learning and its wide employment in many scientific areas are presented in this paper. We compare grey systems theory with other kinds of uncertain information such as stochastic uncertainty, uncertainty, fuzzy uncertainty and rough uncertainty. Then the advances in grey systems theory and its applications are introduced by algorithms of grey numbers and grey algebraic systems, grey dynamic models and grey predictions, grey optimization analysis for decision-making, grey control models individually. We think that people engage in grey systems theoretical research should welcome and take all criticisms seriously. By doing so, existing problems and flaws can be overcome unceasingly, the new growing point be excavated unceasingly, exploring unceasingly, innovating unceasingly, make the grey systems theory grow upward unceasingly.