CAJ | 학술논문

针对煤炭分类是一个多属性、多目标的数据处理问题，提出一种逼近理想点（ TOPSIS）的煤炭分类模式决策方法。利用投影寻踪（ PP）计算各指标的权重，有效地克服了指标权重设置上的主观性和随机性，使决策结果更符合实际。实例分析表明用基于投影寻踪赋权的TOPSIS模型进行煤炭种类识别是可行的，有效的。
침대매탄분류시일개다속성、다목표적수거처리문제，제출일충핍근이상점（ TOPSIS）적매탄분류모식결책방법。이용투영심종（ PP）계산각지표적권중，유효지극복료지표권중설치상적주관성화수궤성，사결책결과경부합실제。실례분석표명용기우투영심종부권적TOPSIS모형진행매탄충류식별시가행적，유효적。
Coal classification is a multi -attribute, multi -objective data processing problem , we propose a TOPSIS ( TOPSIS) coal classification mode decision method .Using projection pursuit ( PP) calculate the index weight , effectively overcome the subjectivity and randomness index weight set on the decision -making results more realistic .Example analysis shows that using TOPSIS model based on projection pursuit empowerment of coal species identification is feasible and effective .