基于模糊聚类的汽车车内空气质量评价

Evaluation of Air Quality in Cars Based on Fuzzy Clustering

在模糊聚类分析的基础上,提出一种适用于多项空气污染物的汽车车内空气质量评价的分类与评价方法。选取8种不同的汽车,测试其车内空气质量相关数据作为统计指标,利用最大最小法建立相似矩阵,用闭包法做出聚类分析,并分析聚类结果。结果表明:该方法对评价汽车车内空气质量具有实用性和普适性。

The paper presents a fuzzy clustering analysis method and designing procedures for studying the air quality in cars based on the fuzzy set theory. In the fuzzy clustering, testing three kinds of data about air quality, which comes from 8 different cars in-house, as the counting index, similar matrix is obtained by utilizing the maximum-minimum law, detailed clustering analysis. results are given by transmit closure methods. The restdts show that the fuzzy clustering analysis method about ear air-quality assessment has practical application and universality.