模糊关联规则挖掘中t规范的快速评价

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI:10.1109/CINTI.2013.6705242

M. Burda

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引用次数: 5

摘要

本文的目的是提出一种模糊t-norm的位评价方法。t -范数是对关联概念进行概括的函数，在模糊关联规则挖掘过程中起着重要的作用。提出了一种高效的批量评估最常见t规范的算法，该算法以用户可调整的隶属度精度损失为代价，最大限度地减少了计算时间和内存空间需求。

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Fast evaluation of t-norms for fuzzy association rules mining

The aim of this paper is to present a bitwise approach on evaluation of fuzzy t-norms. T-norms are functions that generalize the notion of conjunction, and as such play an important role in fuzzy association rule mining process. Efficient algorithms for batch evaluation of the most common t-norms is proposed that minimizes computation time as well as memory space requirements at the cost of user-adjustable loss of precision of the membership degrees.

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2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)

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