在通用的bk -产品模糊关系体系结构中使用词进行计算来设计一个前端原型

B. C. Granville, L. Kohout
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引用次数: 0

摘要

在智能系统开发中使用模糊关系结构时,需要一个统一的通用工具来帮助设计人员、知识专家和用户为被建模的观察环境构建应用程序的数据字典和关系结构。这样的工具必须应用某种形式的“单词计算”来帮助用户概念化模糊关系本身的语义。日常用语和在特殊环境中使用的用语形成了一种自然的方式,使模糊关系的模糊分析推理过程概念化。可识别的单词和术语使模糊系统的潜在用户有机会退后一步,了解典型应用程序的总体关系结构和组合的总体情况。指定了前端英语查询语言(EQL)工具以及支持语法,以查看用于表示模糊关系结构的新兴技术,以及如何将关系方法用于“用单词计算”系统。因此,所需的逻辑分析可以使用自然语言查询来表示,而不是使用多值逻辑的数学乘积形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Engineering a front-end prototype using computing with words in generic BK-product fuzzy relational architectures
When employing fuzzy relational structures in the development of intelligent systems, a unified generic tool is needed to assist the designers, knowledge experts, and users in constructing the application's data dictionary and relational structures for the observed environment being modeled. Such a tool must apply some form of "computing with words" to help users conceptualize the semantics of the fuzzy relations themselves. Everyday terms and those used in special environments form a natural means of conceptualizing the reasoning process of fuzzy analysis on fuzzy relations using words rather than numbers. The recognized words and terms allow the potential users of fuzzy systems the opportunity to step back and see the big-picture of a typical application's overall relational structures and compositions. A front-end English Query Language (EQL) tool is specified along with the supporting grammar to view the emerging technologies employed in representing fuzzy relational structures and how the relational approach can be used for "computing with words" systems. Therefore, the desired logical analysis can be expressed using natural language queries as opposed to the mathematical products forms of the multi-valued logics used.
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