结合所提出的数据库表，探讨了模糊数据的归一化、排序、查询等处理方法与技术。
With connection to the proposed database table, the processing methods and techniques for normalization, ranking and inquiry on fuzzy information are also discussed.
介绍在数据库管理系统中简单的模糊查询方法、查询条件为缩略语或简称的模糊查询方法和SE -LECT - SQL语句的模糊查询。
Introduce fuzziness query methods of the simple fuzziness query and of the fuzziness query's condition is tabloid or is for short and of the fuzziness query of SELECT-SQL.
SQL语言对数据库的精确查询表现出较佳的性能，但模糊查询却不太令人满意。
SQL shows a fine performance in database for exact queries, but not for fuzzy queries.
着重论述了开发技术上的三个主要特点，即模糊查找、数据库多级菜单技术和组合条件查询。
The emphasis is laid on three key techniques:fuzzy check, multi-menus and combinatorial condition polling.
查询是数据库管理系统中不可缺少的功能，所研究的数据查询模式包括组合查询及模糊查询两种。
They are combination query and fuzzy query which use the function of data window enough based on PowerBuilder.
给出了建立模糊数据库的实现过程，对模糊数据库进行查询并给出实验结果。
The paper gave the realization process for database, queried the fuzzy database and showed the results.
给出了建立模糊数据库的实现过程，对模糊数据库进行查询并给出实验结果。
The paper gave the realization process for database, queried the fuzzy database and showed the results.
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