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DOI:
Journal of Software:1997.8(6):441-447

概率逻辑公式集分解的合并聚类算法
张晨东,陈火旺,刘凤岐
(国防科技大学计算机系,长沙,410073)
THE REPRESENTATION AND CLUSTERING OF NUMERIC ATTRIBUTES IN CONCEPT FORMATION
ZHANG Chendong,CHEN Huowang,LIU Fenqi
()
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    Revised:June 10, 1996
> 中文摘要: 为使概率逻辑的不确定性推理方法能应用于较大规模的知识库,本文基于一个实际专家系统知识库的开发经验,在概率逻辑公式一致性区间的一般算法基础上,为概率逻辑公式集的分解设计了一种合并聚类算法.对于不同背景的概率逻辑知识库,只要公式集具有一定的分层结构性质,该算法就能保证Dantzig-Wolfe分解的联合计算模型适用于概率逻辑推理.测试结果表明,该算法对于数10个变量和子句的实例可收到很好的效果.
Abstract:In order that the probabilistic logic reasoning under uncertainty can be used for 1arge scale knowledge-base,this paper presents a clustering-algorithm for decomposi-tion of probabilistic logic formula set based on the general consistence assigning algorithm for Drobabilistic logic and the experience of developing the knowledge-base in an practical expert system. It ensures that the united-model of Dantzig-Wolfe decomposition can be used for probabilistic logic reasoning on probabilistic logic knowledge-base with different background,provided the formula set hold certain hierarchical structure.Experiments show that the algorithm performs successfully on instances with dozens of variables and clauses.
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基金项目:本文研究得到国家自然科学基金、国家863高科技项目资助. 本文研究得到国家自然科学基金、国家863高科技项目资助.
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张晨东,陈火旺,刘凤岐.概率逻辑公式集分解的合并聚类算法.软件学报,1997,8(6):441-447

ZHANG Chendong,CHEN Huowang,LIU Fenqi.THE REPRESENTATION AND CLUSTERING OF NUMERIC ATTRIBUTES IN CONCEPT FORMATION.Journal of Software,1997,8(6):441-447