基于语义的决策模型能力评估与选择方法
DOI:
CSTR:
作者:
作者单位:

同济大学 电信学院

作者简介:

张波

通讯作者:

中图分类号:

TP 391

基金项目:


Semantics based decision model capacity evaluation and selection
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    本体决策模型选择的最佳手段是使计算机在理解决策问题和决策模型自身能力的基础上进行. 通过领域本体, 决策问题和决策模型可以具备被计算机自动理解的形式化语义. 在理解决策问题语义的基础上, 系统可选择对应的求解模型类别并获取决策问题内在需求, 进而根据对应的候选模型语义对其具备的能力进行评估, 选择最适合于决策问题的决策模型. 最后, 实例分析结果表明了这种模型选择方法是有效且可行的.

    Abstract:

    The best method of decision model selection is based on fully understanding the meanings of decision problem
    and the capacities of decision model. Through domain ontology, decision problem and decision model are described in form of formal semantics which can be understood automatically by computer. Due to the understanding semantics of decision problem, DSS can extract the requirement of problem and select the corresponding model class which can solve the problem. Then, the capacities of candidate models are evaluated according to the semantics of decision models and eventually find out decision model which is the most completive one for the problem. Finally, the example analyzing and experiment show that the model selection method is effective and feasible.

    参考文献
    相似文献
    引证文献
引用本文

张波, 向阳.基于语义的决策模型能力评估与选择方法[J].控制与决策,2010,25(9):1324-1328

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2009-08-05
  • 最后修改日期:2009-11-09
  • 录用日期:
  • 在线发布日期: 2010-09-20
  • 出版日期:
文章二维码