道路运输技术准备水平评估的理论方法

Yu. A. Zayats, T. M. Zayats, N. Zagorodny, A. Shabanov
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引用次数: 0

摘要

应用模糊集理论,即认知建模方法来形成汽车运输的技术准备度指标,该指标具有许多独特的性质,其中之一是因素变化时的低波动性。这一属性使得预测汽车运输公司为其预期目的执行任务的能力成为可能,这决定了本文的实际意义。引入了新的术语-技术准备水平和指标水平的因素。这表明,如果无法计算单个因素的值,则可以分解并下降到一个子层次,其中因素本身是一个与因素指标存在因果关系的客观函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THEORETICAL APPROACHES TO ASSESSING THE LEVEL OF TECHNICAL READINESS OF ROAD TRANSPORT
The application of the theory of fuzzy sets, namely cognitive modeling methods for the formation of an indicator of technical readiness of motor transport, which has a number of unique properties, one of which is low volatility when factors change, is considered. This property makes it possible to predict the ability of a motor transport company to perform tasks for their intended purpose, which determines the practical significance of the article. New terms have been introduced - the level of technical readiness and the indicator level of the factor. It is shown that if it is impossible to calculate the values of individual factors, it is possible to decompose and descend to a sublevel where the factor itself is an objective function that is in causal relationships with the indicators of the factor.
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