一种基于Web2.0的协同评价与群体决策方法

发布时间：2018-11-09 13:05

【摘要】：评价与群决策是管理科学中重要问题。传统群体评价决策中通常赋予专家相同的评价权重,但实践中,可能存在少数专家评价时的主观故意舞弊行为,或因客观上业务水平的限制等原因,导致其做出不准确评判,甚至是极端评价,影响最终评价结果。本研究把Web2.0协同的思想应用到评价中,提出协同评价理论,并在此基础上提出一种具体的群决策专家评价权重的协同分配方法,可自动赋予评价专家不同的评价权重,并能有效自动检测奇异评价分。实验表明,在出现少数极端评价的情况下,协同评价方法仍具较强的稳定性。
[Abstract]:Evaluation and group decision-making are important problems in management science. In traditional group evaluation decision making, experts are usually given the same evaluation weight, but in practice, there may be some subjective and intentional fraud in the evaluation of a few experts, or some other reasons, such as the limitation of objective professional level, which lead to inaccurate evaluation. Even extreme evaluation affects the final evaluation results. In this study, the idea of Web2.0 collaboration is applied to evaluation, and the theory of collaborative evaluation is put forward. On the basis of this, a specific collaborative allocation method of evaluation weight for experts in group decision making is proposed, which can automatically assign different evaluation weights to evaluation experts. And can detect singularity evaluation score automatically. The experimental results show that the cooperative evaluation method still has strong stability in the case of a few extreme evaluations.
【作者单位】：中国人民大学信息学院;Northwestern
【基金】：国家自然科学基金(No.71271209,No.71331007) 中央高校基本科研业务费专项资金等资助
【分类号】：C934;TP393.09

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