系统研究中信息不确定性的分类

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-24 DOI:10.1109/SCM.2017.7970534

V. Simankov, Victoria V. Buchatskaya, P. Buchatskiy, Semen Teploukhov

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引用次数: 3

摘要

本文对初始信息的会计不确定性进行了系统研究。它包括将不确定性作为所研究的模型系统的参数之一。作者提出了根据不确定性程度的分类，它允许你识别以下类型的不确定性:完全确定性，随机和模糊不确定性。描述了记录和消除不确定度的数学装置。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Classification of information's uncertainty in system research

In the article an approach to accounting uncertainty of the initial information in the system research. It consists in the inclusion of uncertainty as one of the parameters in the studied model systems. The authors propose classification according to the degree of uncertainty, which allows you to identify the following types of uncertainty: complete certainty, stochastic and fuzzy uncertainty. Described mathematical apparatus for recording and eliminating uncertainty.

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2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)

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