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The Application of the Evaluation Model of Innovation Ability of Zone Logistics System Basing on the Entropy DEA Model of Analysis of Main Factor of Grey Correlation (ID: 6-145)

机译:区域物流系统创新能力评价模型基于灰色关联主要因素熵DEA模型(ID:6-145)

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摘要

The factors that influence on the improvement of the innovation ability in an area are extensive. In order to separate the facilitated function of the logistics from a lot of factors, this paper adopts the analysis method of grey-correlation main factor to screen out the evaluation target of the innovation ability of logistics, and establishes a non-uniform evaluation model of the innovation ability of zone logistics by introducing DEA (Data Envelopment Analysis) approach. For more than one DEA effective decision units, to analyse its validity further, this paper use entropy theory to establish a entropy DEA model and one example introduced. The research indicates that this method have obvious advantage and feasibility for the evaluation of zone logistics innovation ability, and in order to prove its practicability, this paper uses this model to evaluate the innovation ability of the logistics in northeast area, which doesn't only evaluate the discretion of innovation ability in different areas, but also can find the reason that causes the differences. Besides, this method debases the complex and corrrlation degree caused by multiple target evaluation, so that it reduces the error more effectively,and solves the problem of more than one effective decision units in DEA with simple index operation.
机译:影响面积创新能力的改善的因素是广泛的。为了将物流的促进功能与大量因素分开,本文采用灰色相关主要因素的分析方法,以筛选物流创新能力的评价目标,并建立一个非均匀评估模型通过介绍DEA(数据包络分析)方法的区域物流的创新能力。对于多个DEA有效的决策单元,进一步分析其有效性,本文使用熵理论来建立熵DEA模型和​​一个示例介绍。该研究表明,该方法具有明显的优势和可行性,可以评估区域物流创新能力,并且为了证明其实用性,本文使用该模型来评估东北地区物流的创新能力,不仅评估不同领域的创新能力的自由裁量权,也可以找到导致差异的原因。此外,这种方法借助多个目标评估引起的复杂和relrlation度,从而更有效地降低了误差,并解决了DEA中多于一个有效决策单元的问题,具有简单的索引操作。

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