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由于当前对乘用车性能主观评价数据的基本特征的认识和重视度不够,导致乘用车主观评价数据的处理显得粗糙、简单,缺乏科学性。基于误差理论与数据处理理论和模糊数学理论,提出了针对主观评价数据处理的方法。通过误差处理、均值处理、单双极转换、一致性处理,使原始的评价分数转化为能直接表征车辆性能优劣的有效评价数据。最后,以某车为例对所提出的主观数据处理方法的可行性及有效性进行了实验验证。
Due to the lack of recognition and emphasis on the basic characteristics of subjective evaluation data of passenger vehicles, the subjective evaluation data of passenger vehicles are rough, simple and scientifically lacking. Based on error theory and data processing theory and fuzzy mathematics theory, a method of subjective evaluation data processing is proposed. Through the error processing, mean value processing, single-dipole conversion and consistency processing, the original evaluation scores are transformed into effective evaluation data which can directly characterize the performance of vehicles. Finally, taking a car as an example, the feasibility and validity of the proposed subjective data processing method are experimentally verified.