We present a parametric framework (UFleSe) with a user-friendly interface having a search engine that enables regular users (without the need of neither technical nor theoretical knowledge) to define their fuzzy concepts, rules, similarity relations, synonyms, antonyms, and personalizing their definitions for different users, and to link them with the crisp database fields for performing flexible, expressive queries in a language close to natural language. It works over multiple modern and conventional data formats, such as JSON, SQL, Prolog, CSV, XLS, and XLSX. We present the syntax involved in the construction of our various flexible searching criteria and their personalizations. Furthermore, we present the architecture of this novel system that combines fuzzy, crisp data, and similarity relations in its queries to return constructive answers ordered by a degree of searching criteria satisfaction (truth-value between 0 and 1). Finally, we include a comparative analysis of different fuzzy querying systems here, and we provide various experiments, to show the system behavior, performance, efficiency, and scalability as well.

中文翻译：

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UFleSe：用于表达灵活搜索的用户友好参数框架

我们提出了一个具有用户友好界面的参数化框架 (UFleSe)，它具有一个搜索引擎，使普通用户（不需要技术或理论知识）能够定义他们的模糊概念、规则、相似关系、同义词、反义词和个性化它们针对不同用户的定义，并将它们与清晰的数据库字段链接起来，以便以接近自然语言的语言执行灵活、富有表现力的查询。它适用于多种现代和传统数据格式，例如 JSON、SQL、Prolog、CSV、XLS 和 XLSX。我们介绍了构建各种灵活搜索标准及其个性化所涉及的语法。此外，我们展示了这个新系统的架构，它结合了模糊、清晰的数据，以及查询中的相似关系，以返回按搜索标准满意度（0 和 1 之间的真值）排序的建设性答案。最后，我们在这里对不同的模糊查询系统进行了比较分析，并提供了各种实验，以展示系统行为、性能、效率和可扩展性。