模糊灰色物元空间（FHW）是针对宏观复杂大系统中的决策、预测问题进行决策支持的理论方法。它以Delphi法和模糊综合评判为基础，融合了BS和K.J法的优点，综合了模糊数学、灰色系统、物元分析与可拓学等多种理论，以此理论为基础的决策支持系统已经在实际应用中取得了大量的成果。经过近20年的发展，这套理论方法在综合人工智能、复杂系统、集合论等其他学科的基础上，自身也有了长足的发展与进步。简要介绍了模糊、灰色、物元空间理论的理论体系、实际应用情况和近年来的发展和展望。

The fuzzy gray matter-element space theory (FHW) , founded in 1980s by Professor He Zhongxiong, is a theoretical method which is about soft science decision supporting to solve the problems of making decision and forecasting in the large scale complex systems. Based on Delphi method, it combines the BS and K. J methods together and synthesizes several theories including fuzzy mathematics, gray system and metterelement analysis. The soft science decision supporting system on the basis of the FHW theory has achieved a lot in the practical application. For nearly 20 years, this kind of theoretical method has got its own long-term development and improvement by the integration of other subjects such as artificial intelligence, complex system and set theory. This paper briefly introduces the FHW theory system, practical application and development in the recent years.