Bortolan G
LADSEB-CNR, Cordso Stati Uniti, Padova, Italy.
J Med Eng Technol. 1998 May-Jun;22(3):112-20. doi: 10.3109/03091909809062476.
We present the use of fuzzy set theory for the management of imprecision and uncertainty. We first introduced fuzzy set theory according to two different perspectives: the logical and the possibilistic/probabilistic point of view. In addition, several examples of fuzzy sets in different contexts have been considered. The nature of imprecision in the measurement process has been investigated at various levels in order to identify different sources of uncertainty. The fuzzy inference system presented has proved to be a good tool for treating linguistic terms in a quantitative way. An application of a fuzzy inference system in computerized electrocardiography will be described. The main purpose of the present study is to show the potential use of fuzzy logic for the treatment of imprecision and uncertainty.
我们介绍了模糊集理论在处理不精确性和不确定性方面的应用。我们首先从两个不同的视角引入模糊集理论:逻辑视角和可能性/概率视角。此外,还考虑了不同背景下模糊集的几个例子。为了识别不确定性的不同来源,在各个层面研究了测量过程中不精确性的本质。所提出的模糊推理系统已被证明是一种以定量方式处理语言术语的良好工具。将描述模糊推理系统在计算机化心电图中的应用。本研究的主要目的是展示模糊逻辑在处理不精确性和不确定性方面的潜在用途。