一种定性定量信息转换的不确定性模型——云模型

Uncertain model of qualitative/quantitative information transformation——cloud model

目前,许多领域的研究进入到复杂系统阶段。从复杂系统描述与评价的角度来讲,严格、精确的数学描述几乎是不可能做到的,只有将定性定量的知识加以变换与集成才能获得关于系统的定性定量相结合的完整描述。因此,建立一个定性定量的不确定性转换模型,实现语言值与数值的互换,是复杂系统研究迫切需要解决的问题,也是其他领域研究需要解决的问题。从定性定量转换研究现状出发,综述了由李德毅院士提出的定性定量转换的不确定性模型——云模型。从云模型提出背景出发,讨论了云模型的理论基础、发展过程与研究现状;综述了云模型基本理论研究进展情况,云模型在质量评价、模式识别、控制等领域的研究进展。通过研究发现,云模型是定性定量转换的有力工具,并且已经比较成功地得到了应用,取得了重要的研究成果。如何进一步深化理论研究,研究不同领域中定性定量转换应用问题是加强和促进云模型研究的有效途径。

At present, the research has become highly complex in some domain. The qualitative/quantitative information transformation is urgent problem that need to solve in the complex system and other domain.This paper started with an endeavor to discuss the qualitative/quantitative information transformation research state. Summarized the cloud model theory that put forward by Li De-yi. Discussed the definition and basis theory of cloud model respectively. Followed an introduction by to its stages and status of development. It went on to discuss the status of cloud model in quality assessment, pattern recognition and control. It is an effective method to accelerate the development of cloud model through the applied research in many fields.