Research on Fuzzy Concept Lattice in Knowledge Discovery and a Construction Algorithm

QIANG Yu; LIU Zong-tian; LIN Wei; SHI Bai-sheng; LI Yun

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Research on Fuzzy Concept Lattice in Knowledge Discovery and a Construction Algorithm

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- Research on Fuzzy Concept Lattice in Knowledge Discovery and a Construction Algorithm
- Acta Electronica Sinica Vol. 33, Issue 2, Pages: 350-353(2005)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：2005
- 稿件说明：
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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.
DOI：

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. DOI：

摘要

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.

Abstract

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

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.

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