摘要
针对现有可拓策略生成系统分析矛盾问题难度较大这一问题,利用本体知识和决策树技术共同建立本体知识拓展分析树。首先介绍本体知识拓展分析树模型的建立过程,研究本体知识拓展分析树在可拓策略生成中的应用。然后通过所设计的算法分析本体知识拓展分析树的特征,找出矛盾的核心问题。最后以提高客户价值为例进行实验,实验结果表明,对核心问题的相关特征进行可拓变换,比传统的可拓策略生成系统能更有效生成解决矛盾问题的策略。
In regard to the phenomenon that it is difficult for the existing extension strategy generating system to ana -lyze a contradiction problem , this paper discusses the ontology knowledge and the decision tree technology being u-tilized to jointly establish an ontology knowledge expansion analysis tree .The authors present the establishment process for the model of ontology knowledge expansion analysis tree , research the application of the ontology knowl-edge expanded analysis tree in extension strategy generation , analyze the features of the ontology knowledge expan-sion analysis tree using the designed algorithm , and find the core problem of contradiction .Finally, an experiment is done with improving a customer＆#39;s value as example .The results show that , in comparison with the traditional gen-eration system of expandable strategy , carrying out expandable transform for the related characteristics of the core problem may more effectively generate strategies to solve contradiction problems .
出处
《智能系统学报》
CSCD
北大核心
2014年第1期115-120,共6页
CAAI Transactions on Intelligent Systems
基金
广东省自然科学基金资助项目(10151009001000044)
关键词
可拓变换
可拓策略生成
本体知识拓展分析树
本体知识
决策树
extension transform
extension strategy generation
ontology knowledge expansion analysis tree
ontolo-gy knowledge
decision tree
