TY - CHAP
T1 - X-μ fuzzy association rule method
AU - Lewis, Daniel
AU - Martin, Trevor P.
PY - 2013
Y1 - 2013
N2 - Association rule mining theory, and practice, re- quires 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.
AB - Association rule mining theory, and practice, re- quires 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.
U2 - 10.1109/UKCI.2013.6651299
DO - 10.1109/UKCI.2013.6651299
M3 - Chapter
SN - 9781479915682
T3 - 2013 13th UK Workshop on Computational Intelligence, UKCI 2013
SP - 144
EP - 150
BT - 2013 13th UK Workshop on Computational Intelligence, UKCI 2013
ER -