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MILITARY TRAINING PERFORMANCE COMPREHENSIVE EVALUATION METHOD BASED ON MULTI-SOURCE DATA FUSION MODEL

机译:基于多源数据融合模型的军事训练性能综合评价方法

摘要

A military training performance comprehensive evaluation method based on a multi-source data fusion model, comprising the following steps: selecting military training performance evaluation indexes, and establishing a military training performance evaluation index system by using an n-ary tree structure; constructing leaf node military training performance evaluation index fusion models comprising a time index fusion model and a quality index fusion model; performing multi-source data fusion processing on leaf node index data by means of the leaf node military training performance evaluation index fusion models; constructing a leaf node military training performance evaluation index model; constructing a parent node military training performance evaluation index model on the basis of weight information of each node military training performance evaluation index in the n-ary tree structure; and using an n-ary tree breadth-first traversal method to construct a military training performance overall index evaluation model to complete comprehensive evaluation of the military training performance. According to the method, the military training performance can be comprehensively evaluated scientifically, reasonably, and efficiently.
机译:一种基于多源数据融合模型的军事训练性能综合评价方法,包括以下步骤:选择军事训练绩效评估指标,并通过使用N-ARY树结构建立军事训练绩效评估指标体系;构建叶节点军事训练性能评价指标融合模型,包括时间指数融合模型和质量指数融合模型;通过叶节点军事训练性能评估指标融合模型对叶节点索引数据执行多源数据融合处理;构建叶节点军事训练绩效评估指标模型;基于N-ARY树结构的每个节点军事训练性能评估指标的权重信息构建父节点军事训练性能评估指标模型;并使用N-ARY树宽度的遍历方法来构建军事训练性能总体指标评价模型,全面评估军事训练绩效。根据该方法,可以科学,合理,有效地全面评估军事培训表现。

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