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模糊Horn子句规则及其发现算法 被引量：2

Fuzzy Horn Clause Rules and Its Discovery Algorithm
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摘要 模糊Horn子句规则可以用自然语言来表达人类知识。但是,发现模糊Horn子句规则及其蕴含度是比较困难的。该文从逻辑的观点出发,定义模糊Horn子句规则、支持度、蕴含度及其相关概念,分析模糊Horn子句规则发现的步骤,并给出发现算法的形式化描述。该算法结合了模糊Horn子句逻辑概念和Apriori发现算法,从给定的数量型数据库中发现模糊Horn子句规则。 Fuzzy Horn clause rules can be used to represent human knowledge in terms of natural language. However, it is more difficult to discover fuzzy Horn clause rules and its implication degree. From the logical point of view, in this paper, fuzzy Horn clause rules, support degree, implication degree and related concepts are defined. The processes of mining fuzzy Horn clause rules are analyzed, and the formal algorithm is proposed. This algorithm integrates the concepts of fuzzy Horn clause logic and the Apriori algorithm to find fuzzy Horn clause rules from quantitative databases.
作者 刘东波 卢正鼎
机构地区 华中科技大学计算机科学与技术学院 中国电子设备系统工程研究所
出处 《计算机工程》 CAS CSCD 北大核心 2009年第2期184-186,共3页 Computer Engineering
关键词 模糊Horn子句规则 支持度 蕴含度 定量数据库 fuzzy Horn clause rules support degree implication degree quantitative databases
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论]
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参考文献9

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共引文献2

同被引文献25

  • 1许道云.不可满足公式的同态证明系统[J].软件学报,2005,16(3):336-345. 被引量：6
  • 2刘东波,卢正鼎.模糊Horn子句逻辑形式系统[J].模糊系统与数学,2007,21(2):30-39. 被引量：3
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计算机工程
2009年 第2期

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