Team Collaboration Assessment Method in Marine Engine Room Simulator

Hui Cao, You-Bing Cao, Jun-dong Zhang
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Abstract

Based on the fuzzy mathematics and set similarity theory an intelligent collaboration assessment method for engine room simulator was studied. First, an integrated weighting method using both subjective and objective information was designed to obtain the weight vector; second, the fuzzy comprehensive evaluation method was used to calculate the completion degree of team collaboration, then the Dice coefficient and the Tversky coefficient were adopted to quantify the sequence factor, interactivity factor, redundancy factor and unauthorized factor of team collaboration effectiveness; third, a comprehensive calculation was achieved by the completion degree and the four factors to get the team collaboration assessment result; finally, the influence of the collaboration factors on assessment result was analyzed by an example, and it was found that even if the team get a higher task completion degree, due to some factors, the score is still low. The research shows that the collaborative performance of a team can greatly influence the final assessment result, the quantitative analysis of team collaboration can more objectively reveal the impact on collaboration. It is an effective method to add the influence of team cooperation factors to the traditional individual evaluation.
船舶机舱模拟器团队协作评估方法
基于模糊数学和集合相似理论,研究了机舱模拟器的智能协同评估方法。首先,设计了主客观信息相结合的加权方法,得到了权重向量;其次,采用模糊综合评价法计算团队协作完成度,然后采用Dice系数和Tversky系数对团队协作有效性的顺序因子、交互因子、冗余因子和未授权因子进行量化;第三,将完成度与四个因素进行综合计算,得到团队协作评价结果;最后,通过实例分析协作因素对评估结果的影响,发现即使团队获得较高的任务完成度,由于某些因素的影响,得分仍然较低。研究表明,团队协作绩效对最终的评估结果有很大影响,对团队协作进行定量分析可以更客观地揭示对协作的影响。在传统的个体评价中加入团队合作因素的影响是一种有效的方法。
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