模糊逻辑下数据库智能检索方法

Intelligent Retrieval Method of Database Information Based on Fuzzy Logic

随着数据库中数据量的快速增长,传统的精确查询方法已经无法满足用户对信息的智能化检索需求。为了解决这一问题,本研究提出了一种基于模糊逻辑的数据库信息智能检索方法。通过引入模糊集合理论和模糊逻辑运算,本文构建了一个检索模型,并设计了模糊查询处理流程。针对模糊查询,提出了模糊匹配、模糊关联和模糊相似度算法等技术。通过实验评估,本研究验证了该方法的有效性和性能。该方法能够满足用户对信息智能化检索的需求,克服了传统精确查询方法的局限性,提高了信息检索的准确性和效果。

With the rapid growth of the amount of data in the database,the traditional accurate query method has been unable to meet the needs of users for intelligent retrieval of information.To solve this problem,this study proposes an intelligent retrieval method for database information based on fuzzy logic.By introducing fuzzy set theory and fuzzy logic operation,This paper build a retrieval model and design the fuzzy query processing process.The techniques of fuzzy matching,fuzzy correlation and fuzzy similarity algorithm are proposed.This study evaluates the experiments and verifies the effectiveness and performance of the proposed method.The method can meet the needs of users for intelligent information retrieval,overcome the limitations of the traditional accurate query method,and improve the accuracy and effect of information retrieval.