基于案例推理的多准则综合评价
发布时间：2019-06-20 03:51
【摘要】：案例推理是动态决策环境下求解不良结构问题的常用方法．本文把基于案例的推理方法运用于多准则综合评价中，扩展了传统数学模型的求解方式，文中详细叙述了基于案例的属性权重建立算法和相似性度量算法，并将该方法与神经网络模型作了全面比较，指出了存在的优缺点和今后的改进方向．
[Abstract]:Case-based reasoning is a common method to solve bad structure problems in dynamic decision-making environment. In this paper, the case-based reasoning method is applied to multi-criteria comprehensive evaluation, and the traditional mathematical model is extended. In this paper, the case-based attribute weight establishment algorithm and similarity measurement algorithm are described in detail. The method is compared with the neural network model, and the existing advantages and disadvantages and the future improvement direction are pointed out.
【作者单位】： 南京理工大学 军械工程学院
【分类号】：C934
[Abstract]:Case-based reasoning is a common method to solve bad structure problems in dynamic decision-making environment. In this paper, the case-based reasoning method is applied to multi-criteria comprehensive evaluation, and the traditional mathematical model is extended. In this paper, the case-based attribute weight establishment algorithm and similarity measurement algorithm are described in detail. The method is compared with the neural network model, and the existing advantages and disadvantages and the future improvement direction are pointed out.
【作者单位】： 南京理工大学 军械工程学院
【分类号】：C934
【参考文献】
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1 祝世京，，陈 s
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