Designing fuzzy apparatus to model dyslexic individual symptoms for clinical use

Tereza Parilová, E. Hladká, P. Říha
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Abstract

Along with the discovery of new facts and the development of new technologies and methodologies, more and more definitions and specifications emerge. The quantity of these emergences, however, can lead to paradoxical contradictions, which obscure borders. Often, we see this phenomenon of vagueness within natural language or non-exact topics. Fuzzy principles are therefore applied in wide range of (not only) scientific areas. In applied technical science, a user model based on interface and human computer cooperation meets such fuzzy borders. So, why not use it in assistive technology models? Fuzzy deals from its nature with linguistic variables and such variables are being transformed from numbers to expressions on predefined scales. Dyslexia is a neurobiological cognitive based disorder and ideal for (neuro) fuzzy computational modeling for many reasons. This paper describes the idea and process of using the fuzzy approach for obtaining information about individual problems of dyslexic users and differentiating between the type(s) of dyslexic user model he or she may belong to. Such information may serve for further clinical and psychological studies of dyslexia and linguistic based problems.
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设计用于临床的模糊模型来模拟阅读困难的个体症状
随着新事实的发现和新技术、新方法的发展,出现了越来越多的定义和规范。然而,这些出现的数量可能导致自相矛盾的矛盾,从而模糊了边界。我们经常在自然语言或不精确的话题中看到这种模糊现象。因此,模糊原理被广泛应用于(不仅仅是)科学领域。在应用技术科学中,基于界面和人机协作的用户模型满足这种模糊边界。那么,为什么不在辅助技术模型中使用它呢?模糊从本质上处理语言变量,这些变量在预定义的尺度上从数字转换为表达式。阅读障碍是一种基于神经生物学的认知障碍,由于许多原因,它是神经模糊计算模型的理想选择。本文描述了使用模糊方法获取有关阅读困难用户个体问题的信息,并区分他或她可能属于的阅读困难用户模型类型的思想和过程。这些信息可以为进一步的临床和心理研究阅读障碍和语言基础问题服务。
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