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阐述了定性定量转换模型——云模型的定义、特征以及正向云、逆向云、条件云的生成方法。云模型将模糊性与随机性集成在一起 ,作为知识表示的基础 ,形成定性概念与定量数值之间的转换。将云模型理论用于车辆定位导航系统模糊评测研究 ,能有效地提高导航系统的可靠性和评测效果。仿真结果表明了该方法的可行性和有效性。
The definition and characteristics of cloud model, as well as the generation methods of forward cloud, reverse cloud and conditional cloud are described. The cloud model integrates fuzziness and randomness as the basis for knowledge representation to form the conversion between qualitative concepts and quantitative values. Applying the cloud model theory to the fuzzy evaluation of vehicle positioning and navigation system can effectively improve the reliability and evaluation results of the navigation system. Simulation results show that the method is feasible and effective.