CAJ | 학술논문

利用模糊集合配煤方法处理实测的镜质组数值型反射率分布和活惰比数据，可先计算配合煤 PSI 和 PCBI 两个集合中的所有元素，再计算 SI 和 CBI 两个数值。用剩余标准差推定完全二次二元二项式回归方程为最佳回归方程，以 SI、CBI 为自变量，用相对应的焦炭反应性 CRI、焦炭反应后强度 CSR、焦炭抗碎强度 M 40和焦炭耐磨强度 M 10进行回归分析，利用 MATLAB 软件绘制其相应的可视曲面和等值曲线，并预测焦炭性能。将预测值和实测值进行比较，吻合度较高，说明模糊集合配煤方法对焦炭性能的预测有一定的可靠性。
이용모호집합배매방법처리실측적경질조수치형반사솔분포화활타비수거，가선계산배합매 PSI 화 PCBI 량개집합중적소유원소，재계산 SI 화 CBI 량개수치。용잉여표준차추정완전이차이원이항식회귀방정위최가회귀방정，이 SI、CBI 위자변량，용상대응적초탄반응성 CRI、초탄반응후강도 CSR、초탄항쇄강도 M 40화초탄내마강도 M 10진행회귀분석，이용 MATLAB 연건회제기상응적가시곡면화등치곡선，병예측초탄성능。장예측치화실측치진행비교，문합도교고，설명모호집합배매방법대초탄성능적예측유일정적가고성。
Treating vitrinite numeric reflectance distribution and ratio of reactive component and inertinite by coking coals blending methods of fuzzy sets metrics, all the elements in Pseudo-Strength Index (PSI) and Pseudo-Composition Balance Index (PCBI) of blending coal could be calculated, and then, Strength Index (SI) and Composition Balance Index (CBI) could be calculated.By using residual standard deviation, we can know the binary quadratic binomial expression is the best regression equation, taking SI、CBI as the independent variables, and using corresponding coke properties such as CRI, CSR, M40 and M10, the regression analysis was done.Use the MATLAB to make the corresponding visual surface and contour curves and then, predict the coke performance.The Predicted and actual values were compared, we can find that the goodness of fit was relatively high, so it was demonstrated that the fuzzy sets metrics is reliable for prediction of coke performance.