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Generating Understandable and Accurate Fuzzy Rule-Based Systems in a Java Environment

机译:在Java环境中生成可理解且准确的基于模糊规则的系统

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Looking for a good interpretability-accuracy trade-off is one of the most challenging tasks on fuzzy modelling. Indeed, interpretability is acknowledged as a distinguishing capability of linguistic fuzzy systems since the proposal of Zadeh and Mamdani's seminal ideas. Anyway, obtaining interpretable fuzzy systems is not straightforward. It becomes a matter of careful design which must cover several abstraction levels. Namely, from the design of each individual linguistic term (and its related fuzzy set) to the analysis of the cooperation among several rules, what depends on the fuzzy inference mechanism. This work gives an overview on existing tools for fuzzy system modelling. Moreover, it introduces GUAJE which is an open-source free-software Java environment for building understandable and accurate fuzzy rule-based systems by means of combining several pre-existing tools.
机译:寻找良好的可解释性-准确性权衡是模糊建模中最具挑战性的任务之一。确实,自扎迪(Zadeh)和曼达尼(Mamdani)的开创性思想提出以来,可解释性就被认为是语言模糊系统的一种区别能力。无论如何,获得可解释的模糊系统并不容易。仔细设计就成为一个问题,必须涵盖多个抽象级别。即,从每个单独的语言术语(及其相关的模糊集)的设计到对几个规则之间合作的分析,取决于模糊推理机制。这项工作概述了用于模糊系统建模的现有工具。此外,它还介绍了GUAJE,它是一种开源的免费软件Java环境,用于通过组合几个预先存在的工具来构建可理解且准确的基于模糊规则的系统。

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