基于评价者信服力的群体评价方法

针对群体评价中专家权重的计算问题，从对专家信息重视程度的角度出发，提出一种基于评价者信服力的群体评价方法，旨在探讨提高群体评价结果可信度的方法.结果表明，该方法在保证评价者评价信息完整性的同时能够综合评价者的经验信息和评价过程中的信息，从而保证评价结果的准确性.首先设定评价情景并提出研究假设，并对评价支持者和评价需求者进行区分;然后构建评价者信服力的计算模型并对模型的有效性进行说明;最后利用非线性规划模型计算各被评价对象的评价结果.

A Group Evaluation Method Based on the Convincing Force of Evaluators

Aimed at how to determine expert weights in group evaluation， a group evaluation method based on the convincing force of evaluators was proposed from the perspective of the attention degree of expert information in order to improve the credibility of evaluation results. It was found that this method not only guarantees the completeness of evaluators’ evaluation information， but also integrates evaluators’ experience information and other information in the evaluation process to ensure the accuracy of evaluation results. Firstly， the evaluation context was set and the research hypotheses were made， and then a distinction between evaluators and evaluation requestors was made. Secondly， the computational model of convicing force was constructed and its validity was expounded upon. Finally， a nonlinear programming model was used to calculate the final evaluation result of every evaluated object.