Abstract:

In FCMBP algorithm, there is no effective generation algorithm in the database of the translation equivalence classes of high-order fuzzy equivalent standard matrix in the past time, and it is very complicated to define the corresponding database of similar parameters system for each translation equivalence class of fuzzy equivalent standard matrix. In order to solve the problems, this paper proposes an automatic generation algorithm for the database of the translation equivalence classes with the low to high standard fuzzy equivalent matrix, and an algorithm for generating the corresponding database of the equivalent classes of similar parameters system. The case proves that the algorithm effectively solve the problem of automatic generation for the database of the translation equivalence classes of high-order fuzzy equivalent standard matrix.

Key words: knowledge discovery, fuzzy clustering, FCMBP algorithm

摘要：

在FCMBP算法中，高阶模糊等价标准型的平移等价类数据库缺少一个高效的生成算法，且每一个模糊等价标准型的平移等价类需要定义相应的相似参数系等价类，过程繁琐。为解决上述问题，提出由低阶向高阶自动生成模糊等价标准型矩阵的平移等价类数据库的算法以及生成相应相似参数系的等价类的算法。通过实例验证该算法较好地解决了高阶模糊等价标准型的平移等价类数据库的自动生成问题。

关键词: 知识发现, 模糊聚类, FCMBP算法

CLC Number: 

• TP301.6