1) the attribute of sexual rights
性权属性
3) Authorization property
授权属性
4) attribute weight
属性权重
1.
The attribute weight and weighted support of default regular are defined by using the conditional entropy and a mining algorithm of default regulars are given for inconsistent database.
针对不一致数据库,定义属性权重及缺省规则加权支持度概念,在此基础上给出一种缺省规则挖掘算法。
2.
With respect to the problem of multiple attribute decision-making with incomplete information on attribute weights to which the attribute values are given in terms of interval numbers, a modified TOPSIS (technique for order preference by similarity to ideal solution) analysis is proposed.
针对属性权重信息不完全且属性值以区间数形式给出的多属性决策问题,提出了一种逼近于理想点(TOPSIS)的决策分析方法。
3.
With regard to the problem of determining attribute weights in uncertain multiple attribute decision making, in which the attribute values are in form of interval number, a new method is proposed to determine interval entropy weights.
针对属性值以区间数形式给出的不确定性多属性决策中确定属性权重的问题,提出了一种区间数熵权的确定方法·依据多属性决策中传统熵权确定方法的思路,首先,通过构建两个最优化模型,求得区间熵;然后根据传统熵权确定公式及区间数运算法则得到以区间数形式表示的属性熵权·该方法具有概念清晰、实用的特点,得出的属性熵权能够较好地反映各属性信息的差异程度·最后通过一个算例说明了该方法的实用性和有效性
5) attribute weights
属性权重
1.
A method of entropy for obtaining the attribute weights of interval numbers decision-making matrix;
确定区间数决策矩阵属性权重的方法——熵值法
2.
A method was presented to deal with the fuzzy multiple attribute decision making problem with preference values on alternatives,in which the attribute weights were unknown completely and the attribute values and preference values are fuzzy variables.
针对属性值均为模糊变量,属性权重完全未知但给出方案偏好值的模糊多属性决策问题给出了决策方法。
3.
The purpose of this paper is to research the bipartite matching problem with incomplete attribute weights in consumer to consumer(C2C) e-commerce environment.
以C2C电子商务为实际背景,研究了在商品属性权重信息不完全的情况下买卖双方的双边匹配问题。
补充资料：连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt，n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条