半模糊量词作为构建数据模式语言摘要的工具

2011 IEEE Symposium on Foundations of Computational Intelligence (FOCI) Pub Date : 2011-04-01 DOI:10.1109/FOCI.2011.5949473

F. Díaz-Hermida, Alberto Bugarín-Diz

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引用次数: 15

摘要

在本文中，我们从两个方面讨论了半模糊量词如何成为从数据中建模语言摘要的有用工具:它们如何为执行涉及模糊量词的数据摘要任务提供系统机制，这些模糊量词不同于通常的一元和二进制量词，以及它们如何用于检测数据中的量化模式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Semi-fuzzy quantifiers as a tool for building linguistic summaries of data patterns

In this paper we discuss how semi-fuzzy quantifiers are a useful tool for modeling linguistic summaries from data in two aspects: how they provide a systematic mechanism for performing the data summarization task involving fuzzy quantifiers that are different from the usual unary and binary ones and also how they can be used for the detection of quantified patterns in data.

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2011 IEEE Symposium on Foundations of Computational Intelligence (FOCI)

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