基于模糊聚类关联分析法的煤与瓦斯突出程度分析

运用模糊聚类分析方法对煤与瓦斯突出的样本集合进行分类,建立了不同突出程度的模糊模式.用关联分析确定待分析样本与模式的关联程度,以此预测预报样本的煤与瓦斯突出危险程度.实例分析表明,与模糊聚类分类后、将模式与待预报样本组成新样本集合进行聚类分析并以此分类结果进行预报的方法相比,这种预报方法不仅可靠程度高,而且能定量描述待报样本与模式的亲和程度.

Analog classification analysis on coal and gas booming by means of fuzzy gathering

This paper aims to introduce the authors' developed fuzzy gathering classification method for analyzing the coal and gas booming in the exploitation process by using the fuzzy similar selective principle.Generally speaking,it is the qualitative or fuzzy similar factors that give more influence on the coal and gas explosion.Therefore,using the fuzzy similar principle and taking the fuzzy mode as appraised object,the present authors forecast the degree of coal and gas explosion by means of the predictive sample as the reference one.The analysis actually is done by using two kinds of methods so as to increase the accuracy rate of the evaluation.When combined with the fuzzy gathering classification analytical method,the suggested method can make it easy to overcome the indeterminateness and help to turn the qualitative forecasting into quantitative,thus enabling the forecast to be more accurate.