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一个汽车驾驶员在感觉和操纵行为上会出现不正确性,这可以理解为是外部现象和驾驶员对这些现象的内在描述之间缺乏一致性的缘故。应用模糊集合理论就是一种用规范化模型来模拟上面过程的合理方法。在这种情况下,外部现象和其内在描述之间的不一致性则是由于获取信息时的不正确分类过程造成的,正象驾驶员产生的反应那样。本文论述这类过程的分析与模拟,数字模拟的结果表明用模糊集合理论建立模型(包括人的操纵行为)是合适的。
A motorist’s perception of incorrectness in handling and behavior can be interpreted as a lack of coherence between external phenomena and driver’s intrinsic description of these phenomena. Applying fuzzy set theory is a reasonable way to model the above process using a normalized model. In this case, the inconsistency between the external phenomenon and its internal description is due to the incorrect classification process of obtaining the information, just as the reaction of the driver. This article discusses the analysis and simulation of such processes. The results of numerical simulations show that it is appropriate to use fuzzy set theory to build models, including human maneuvering behavior.