基于粗糙集理论的空气质量智能数据分析

Intelligent data analysis of air quality on rough set theory

粗糙集作为一种智能工具可以用来挖掘数据依赖,数据约简近似集分类以及从数据库中提取规则。本文将粗糙集方法应用在空气质量评估中,从空气数据库中提取其规则从而对数据进行有效的分析。研究表明,在知识推理和建立专家系统方面,粗糙集理论是一种非常有效的工具。

Rough set, as an intellectual tool, can be used for mining data dependency, data reduction approximate set category and extracting rules from the database. In this paper, we make the rough set methods used in the Air Quality Assessment, extract its rules from the air database so as to analyze the data effectively. Research shows that the rough set theory was considered an effective tool and used in knowledge reasoning and the establishment of expert system.