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针对同一属性下不同方案的邓氏关联度大小区分较弱以及关联度存在下限的问题,定义基于指数函数的新关联度.改进后的关联度对同一属性下不同方案间关联度的分辨率要高于原有关联度,并证明了改进关联度的性质.利用指数关联度确定属性权重,构造基于偏差和灰熵的确定了时间权重的优化模型.最后,将该方法用于河南省某地级市民营企业的经营业绩评价分析中,实例说明了所提出模型的有效性和实用性.
Aiming at the problem of the weakness of Deng’s degree of association and the lower limit of the degree of relevance for different schemes under the same attribute, the new degree of association based on exponential function is defined. The improved degree of association has the same effect on the resolution between different schemes under the same attribute Which is higher than the original degree of association and proves the nature of improving the degree of relevance.It uses the exponential degree of association to determine the attribute weight and constructs an optimization model based on deviation and gray entropy to determine the time weight.Finally, Level private enterprises in the evaluation of business performance, the examples illustrate the effectiveness of the proposed model and practicality.