The new method USES DEA efficiency as a clustering standard and looks for DEA effective units step by step so as to cluster.
该方法以DEA有效为聚类标准，通过逐步寻找DEA有效单元的方法从而达到聚类的目的。
Thus we can put forward enabling measures for a DEA ineffective logistics system reaching DEA effective, and get the suggestion of improving logistics system, for decision department's reference.
进而可对非DEA有效的物流系统提出使其达到DEA有效的可行措施，可得出关于物流系统改进的建议，供决策部门参考。
Basing on the Multiple Objective DEA mode and thinking of the undesirable outputs in the practical production process, this paper constructs a Multiple Objective DEA model with undesirable outputs.
在多目标DEA的基础上，考虑到实际生产过程中往往存在非期望输出，建立了具有非期望输出的多目标DEA模型。
To get more accurate evaluation, multiple criteria are added to the DEA model to get a multicriteria random DEA model.
为提高评价的准确性，增加了多个评价准则，从而形成了多准则随机DEA评价模型。
Based on this, all the DMUs are classified into three types, which are interval DEA efficient, interval DEA partly efficient and interval DEA unefficient.
然后按区间效率值将所有决策单元分为三类，即区间DEA有效、区间DEA部分有效和区间DEA无效。
According to DEA validity, the paper analyses the reasons for DEA invalidity from land input-output efficiency, and puts forward Suggestions to use urban land effectively.
根据DEA有效性值，从土地投入产出两个方面分析了非dea有效年份的原因，并根据计算结果提出了有效利用城市土地的建议。
The preference DEA model is put forward based on the traditional DEA model to solve the comprehensive evaluation, and to solve the same efficient DMU with the average cross-efficiency.
在对传统DEA模型修正的基础上，提出了应用偏好序DEA模型来对信息系统综合评价，并提出用平均横切效率来解决同为有效决策单元的对比问题。
The approach considers the internal process and its impact on the total performance. In reality the model is a special network DEA model, but differs from the previous network DEA models.
本文提出的模型实质上是一类特殊的网络DEA模型，其评价原理有别于已有的研究成果，但更有助于管理者确定生产过程的非有效来源及其效率改进方向。
It is important to evaluate the performances of electric power construction enterprise scientifically, so an improved interval super efficiency DEA (SE-DEA) model is proposed to solve this problem.
对电建企业的经营绩效进行科学评价具有重要意义。提出一种可用于电建企业效率评价的改进区间se - DEA模型。
The sample DEA has an active function on giving an order of units, risk evaluation, analyzing of DEA efficient units and forecasting the combination efficiency of some units.
基于样本的DEA方法在择优排序，风险评估，分析有效单元性质，预测组合有效性等方面具有积极的作用。
To improve the optimum speed and optimization accuracy of Differential Evolution Algorithm (DEA), an improved DEA was proposed.
为了提高差分进化算法(DEA)的收敛速度和寻优精度，提出了一种改进的差分进化算法。
Then About the shortcomings the DEA CCR model has which is used for the most commonly DEA model, the writer gives the improved model.
然后针对DEA中最常用的CCR模型存在的两个缺陷，给出了自己的改进模型。
Then About the shortcomings the DEA CCR model has which is used for the most commonly DEA model, the writer gives the improved model.
然后针对DEA中最常用的CCR模型存在的两个缺陷，给出了自己的改进模型。
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