中文摘要：

如何通过直观、简单和有效的测评方法,建立一个定性与定量的不确定性测评转换模型,实现智能驾驶车辆的测评研究,已成为智能驾驶车辆研究领域急需面对和解决的一个基本问题,也是一个难题.为了解决这个问题,本文提出一种基于云模型与变粒度的测评方法.首先,提出一套4S变粒度测评体系与三级智商变粒度测评体系;其次,通过云模型将智能驾驶车辆的定性测评转化为直观、形象的定量测评,利用云模型的期望、熵与超熵对智能驾驶车辆进行定量评价,从而建立一个由定性到定量的测评转换模型.为解释这个模型的实施,2013年未来挑战赛的实例被采用.实验的分析表明,在具有定性与定量的测评中,利用云模型的期望、熵与超熵作为定性评价的定量评价的依据,并且,基于云模型与变粒度的智能驾驶车辆的测评能够有效地解决多目标粒度的测评与描述性的定性评价的定量评价,从而解决了一类智能驾驶车辆的测评研究问题.

英文摘要：

A direct,easy-to-operate and effective evaluation method for building a qualitative and quantitative uncertainty evaluation transformation model is urgently needed for intelligent vehicle evaluation research. It has been a challenging problem facing the researchers. Based on cloud model and variable granularity,this paper describes a measurement method.First,we proposed a set of 4S variable granularity measurement system and the three-level IQ variable granularity evaluation system. Then,we transformed the qualitative assessment over the intelligent driving vehicle into a direct image quantitative evaluation via using the Expectation,the Entropy and the Hyper Entropy of cloud model,thus building an uncertainty transformation model from qualitative to quantitative. The Future Challenge 2013 was used as a case to illustrate the model. The analysis shows that in the qualitative and quantitative evaluation,the Expectation,Entropy and Hyper Entropy based on cloud model is the basis of qualitative-evaluation of quantitative evaluation. Moreover,the intelligent vehicle evaluation based on cloud model and variable granularity can efficiently solve the multi-objective particle size measurement of evaluation and descriptive qualitative evaluation of quantitative evaluation,thereby providing solutions to the evaluation of a class of intelligent vehicle research.