1. 上海大学计算机学院,上海,200072
2. 蚌埠坦克学院,安徽,蚌埠,233013
3. 上海大学计算机学院上海,200072
4. 蚌埠坦克学院安徽蚌埠,233013
纸质出版:2005
移动端阅览
强宇, 刘宗田, 林炜, 等. 模糊概念格在知识发现的应用及一种构造算法[J]. 电子学报, 2005,33(2):350-353.
QIANG Yu, LIU Zong-tian, LIN Wei, et al. Research on Fuzzy Concept Lattice in Knowledge Discovery and a Construction Algorithm[J]. Acta Electronica Sinica, 2005, 33(2): 350-353.
基于有限L_背景的模糊格在扩展和时空复杂度上有局限.本文定义了广义的模糊概念格和其上的截运算以简化格构造
提出了一种模糊格构造算法.在概念格结点级上定义了两个模糊参数
α和
以避免提取因高偏差导致的无效规则.给出一个实例
说明了从模糊概念格提取不确定规则、计算规则支持度、置信度的原则、方法.实现了构造算法与Godin算法的对比实验
结果表明本算法在时空性能上要优于Godin算法.
Fuzzy lattice based on finite L
-
context has limit on expansion and time and spatial complexity.Fuzzy-attributes concept lattice in common sense and cut calculation on it were defined to simplify lattice construction.A construction algorithm was presented.Two fuzzy parameters
α
and
on level of concept lattice node were defined to avoid extracting invalid association rules induced by high abbreviation.A case was given to demonstrate the principles for abstracting indefinite rules and computing their support and confidence.A comparison experiment between construction algorithm and Godin algorithm was made.The result shows that construction algorithm is superior to Godin algorithm on time-spatial complexity.
0
浏览量
1420
下载量
16
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621