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本文概要地描述了模糊关系数据库的基本概念,提出了三种模糊数据,即常规关系数据库中精确单值作为特例的字符型、数值型数据以及空值;对于模糊查询,提出使用可能性度量来处理数值型数据、相似性度量来处理字符型数据,在查询语句中可使用模糊比较符和模糊量。对模糊关系数据库的运用重点本文放在将其与专家咨询系统的结合上,指出用模糊关系数据库来支持专家系统的途径。
This paper briefly describes the basic concepts of fuzzy relational database and puts forward three kinds of fuzzy data, that is, the exact single value of regular relational database as the special character, numeric data and null value. For fuzzy inference, it proposes the use of probability measure Process numerical data, similarity measures to deal with character data, the query can be used in fuzzy comparison and fuzzy amount. Emphasis on the Use of Fuzzy Relational Database This article focuses on the combination of this with an expert advisory system and points out the way to support expert systems with fuzzy relational databases.