CAJ | 학술논문

针对常用煤炭识别方法样本数据要求高、人为因素影响大、识别准确性差等问题，提出一种基于信息熵的灰色关联度分析方法。通过分析熵权灰关联分析法的决策模型，根据样本数据建立了熵权灰关联度分析法的煤炭种类(无烟煤，烟煤和褐煤)辨识模型，并反向检验了待测煤样识别的准确性。最后对比分析了熵权灰关联度分析法和模糊识别法的煤样识别的准确性。结果表明：熵权灰关联度分析法对建模煤样和待测煤样的识别准确率均达到100％；而模糊识别法对建模煤样、待测煤样的识别准确率分别为83?33％、75?00％，总准确率为81?25％。说明熵权灰关联度分析法泛化能力强、可靠性高，明显优于模糊识别法。
침대상용매탄식별방법양본수거요구고、인위인소영향대、식별준학성차등문제，제출일충기우신식적적회색관련도분석방법。통과분석적권회관련분석법적결책모형，근거양본수거건립료적권회관련도분석법적매탄충류(무연매，연매화갈매)변식모형，병반향검험료대측매양식별적준학성。최후대비분석료적권회관련도분석법화모호식별법적매양식별적준학성。결과표명：적권회관련도분석법대건모매양화대측매양적식별준학솔균체도100％；이모호식별법대건모매양、대측매양적식별준학솔분별위83?33％、75?00％，총준학솔위81?25％。설명적권회관련도분석법범화능력강、가고성고，명현우우모호식별법。
The common coal identification methods,which are influenced greatly by human factors,require high level sample data.While the accuracy is poor.Provided a grey correlation analysis method based on the information entropy.Combining the entropy theory and gray rela-tional analysis,established the entropy coefficient grey correlation analysis of coal type identification model which applies to anthracite,bi-tuminous coal and lignite.The accuracy of the model was tested by antidromic method.Taking the modeling coal sample and coal sample un-der test as research objects,compared the accuracy of entropy coefficient grey correlation degree analysis method and fuzzy identification method.The first analysis method has a high recognition efficiency to the two kinds of coal samples,both the efficiency are 100%.While the efficiency of the second method is 83.33% and 75.00%,the total accuracy rate is 81.25%.The generalization and reliability of the entropy coefficient grey correlation analysis method is high.