Hierarchical Fuzzy Sets to Query Possibilistic Databases

R. Thomopoulos, P. Buche, Ollivier Haemmerlé
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引用次数: 2

Abstract

Within the framework of flexible querying of possibilistic databases, based on the fuzzy set theory, this chapter focuses on the case where the vocabulary used both in the querying language and in the data is hierarchically organized, which occurs in systems that use ontologies. We give an overview of previous works concerning two issues: firstly, flexible querying of imprecise data in the relational model; secondly, the introduction of fuzziness in hierarchies. Concerning the latter point, we develop an aspect where there is a lack of study in current literature: fuzzy sets whose definition domains are hierarchies. Hence we propose the concept of hierarchical fuzzy set and present its properties. We present its application in the MIEL flexible querying system, for the querying of two imprecise relational databases, including user interfaces and experimental results.
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查询可能性数据库的层次模糊集
在可能性数据库的灵活查询框架内,基于模糊集合理论,本章重点讨论了在使用本体的系统中,查询语言和数据中使用的词汇都是分层组织的情况。本文综述了前人关于两个问题的研究:一是关系模型中不精确数据的灵活查询;其次,在层次结构中引入模糊性。关于后一点,我们发展了目前文献中缺乏研究的一个方面:定义域为层次的模糊集。在此基础上提出了层次模糊集的概念,并给出了层次模糊集的性质。本文介绍了该方法在MIEL灵活查询系统中的应用,用于查询两个不精确的关系数据库,包括用户界面和实验结果。
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