1) data mining for subjective and objective weight
主客观权重挖掘
2) weighting mining
权重挖掘
1.
Given the economic data on Henan in the years of 2003 and 2006 reported by the statistics bureau I process clustering analyses and weighting mining on the judgment and comprehensive evaluatio.
并依据河南省统计局2003年给出的指标体系和2006河南省统计年鉴数据,对2005年河南省的县域经济综合发展状况进行了聚类实证分析,对各评价因素进行了权重挖掘,根据所得结果对河南省2005年县域经济发展水平进行了综合评价和分析。
3) comprehensive index weight
主客观综合权重
4) objective weight
客观权重
1.
To overcome the shortcomings resulted from the preferred integration between subjective and objective weights in multi-attribute decision-making with condition and decision attributes,a quadratic programming model was proposed to get optimal weight integration without preference between the subjective and the objective weights.
针对具有条件属性和决策属性的多属性决策系统在融合主观权重与客观权重时具有人为偏好的缺陷,为实现客观权重与主观权重的无偏好融合,用粗集理论中的属性重要性原理确定各属性的客观权重,再用MATLAB中细胞数组的基本特征和多维空间距离的概念,建立了基于空间距离的二次规划数学模型,确定无人为偏好的主客观权重融合方案。
2.
Firstly,the shortcomings of two existed methods are analysed and a rule to estimate the rationality of methods for determining objective weight is set up.
针对属性权重未知且属性值为定值的多属性决策问题,分析了两类求解属性客观权重方法的不足,建立了客观权重模型合理性的判定定理。
3.
A model with adjustability is proposed to seek objective weight based on entropy and then subjective weight and objective weight are integrated into general weight linearly.
基于属性的熵,建立了具有柔性的客观权重模型,把客观权重和主观权重线性合成为综合权重。
5) Customer Dig
客户挖掘
6) Blog Mining
博客挖掘
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参考词条