分类认知过程的模糊范式研究

Cristina Maria Varachiu, N. Varachiu
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引用次数: 4

摘要

给出了一个在分类/模式识别过程中使用模糊范式的例子,并强调在处理不确定性时,模糊是一种有用的替代随机性的方法。在现实世界的情况下,许多经验、事件和进程都是不确定的,而产生的不确定性是人类、社会和技术系统的自然和重要组成部分。我们试图证明在分类的认知过程中,处理不确定性是一种有用的方法,其中一个重要的不确定性是模糊不确定性,不确定性是真实词的重要组成部分;我们必须应对它,而不是把它当作一个“残余”问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fuzzy paradigm approach for the cognitive process of categorization
An example of using the fuzzy paradigm in categorization/pattern recognition process is presented, emphasizing also that fuzziness is a useful alternative to randomness in dealing with uncertainty. In real world situations many experiences, occurrences, processes are non-deterministic, and the arising uncertainty is a natural and important component of human, social and technical systems. We try to demonstrate that in the cognitive process of categorization, to deal with uncertainty-with an important one, the fuzzy uncertainty-is a useful approach, and the uncertainty is an important component of the real word; and we have to cope with it, not to consider it as a "residual" problem.
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