Abstract: In the era of big data, the paradigm of scientific research is undergoing fundamental changes. The Fourth Paradigm: DataIntensive Scientific Discovery which proposed by Jim Gray, a Turing Award winner, is increasingly becoming the mainstream paradigm in scientific research. The significant feature of big data is its low information density. The characteristics and operation rules of various systems are like gold buried in a sea of sand, deeply concealed by the big chaotic and complex uncertain data. In 1982, Professor Julong Deng founded the Grey System Theory, which is a distinctive method for modeling and analyzing uncertain data. Grey system theory takes the "poor data" uncertain system with "some information known and some information unknown" as the research object. It mainly extracts valuable information through the mining of "some" known information, and realizes the correct description of the system operation behavior and evolution law, so that people can use mathematical models to analyze and assess the "poor data" uncertain system, then realize high-precision prediction, scientific decision-making and optimal control of the "poor data" uncertain system. Prof. Liu has been dedicated to grey system research for 40 years. The series of concepts and models he proposed have become classics in this field. Such as kernel, degree of greyness of grey number, simplified form of grey number, general grey numbers and their algebraic systems; sequence operator, weakening and strengthening buffer operators; A series of grey relational analysis models based on a global perspective; The grey evaluation model based on mixed possibility function of endpoints and center points, a multi-objective weighted intelligent grey target decision-making model, and a two-stage grey decision-making model based on a kernel weight vector group; And various original poverty information data prediction models such as original difference models, mean difference models, discrete grey models, fractional order grey models, and self memory models proposed in collaboration with his students. These original achievements have greatly enriched the knowledge system of grey system theory. Various editions of his seminal book on Grey system theory have been published in different languages such as Chinese, English, Romanian and Korean. Hundreds of universities from around the world adopted them as textbooks. There are more than one million audiences of his books, videos and software of grey modeling. In 2024, he was selected as one of the top 0.05% Lifetime Highly Ranked Scholar in Systems Theory by Scholar GPS. His publications have been cited 51270 times with an H-Index of 95 in Huezhi Scholar. As a new edition of his book of Grey Systems Analysis is about to be published, I am great honored to write the foreword for this classic work. This book will undoubtedly benefit more grey system theory learners and researchers as it has been funded by Publishing Fund of Excellence Academic Works of NPU and will be published as OA book. It is expected that it will be widely spread around the world, promote the in-depth application of grey system methods and models, and benefit all mankind.