X-μ fuzzy association rule method

D. Lewis, T. Martin
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引用次数: 6

Abstract

Association rule mining theory, and practice, requires the ability to calculate the cardinalities of subsets. In association rule mining on fuzzy sets, this is also the case. However, there are multiple options for calculating cardinalities due to the nature of fuzzy sets. In this paper we introduce the “X-μ Fuzzy Association Rule method” of calculation, a methodology for use within fuzzy association rule mining. This method uses the X-μ representation of fuzzy sets and its respective cardinality calculation, which retains the fuzzy nature of fuzzy set cardinality through the full process of association rule processing.
X-μ模糊关联规则方法
关联规则挖掘理论和实践需要计算子集基数的能力。在模糊集的关联规则挖掘中,也是如此。然而,由于模糊集的性质,计算基数有多种选择。本文介绍了一种用于模糊关联规则挖掘的计算方法“X-μ模糊关联规则法”。该方法利用模糊集的X-μ表示及其各自的基数计算,在关联规则处理的整个过程中保持了模糊集基数的模糊性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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