Abstract Evolutionary Fuzzy Systems are a successful hybridization between fuzzy systems
and Evolutionary Algorithms. They integrate both the management of imprecision …

Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …

Uncertain data have already widely existed in many practical applications recently, such as
sensor networks, RFID networks, location-based services, and mobile object management …

The inductive learning of fuzzy rule-based classification systems suffers from exponential
growth of the fuzzy rule search space when the number of patterns and/or variables …

Dynamic classification decision making is a crucial issue in management decision making
and data mining, which is widely applied in different areas such as human-machine …

Some researchers have framed the extraction of association rules as a multi-objective
problem, jointly optimizing several measures to obtain a set with more interesting and …

There are many effective approaches that have been proposed for association rules mining
(ARM) on binary or discrete-valued data. However, in many real-world applications, the data …

Association rule mining is an important data mining technique used for discovering
relationships among all data items. Membership functions have a significant impact on the …

Mining association rules is an important data mining technology aiming to find the
relationship among items in the databases. Genetic-fuzzy data mining uses evolutionary …

The association rules render the relationship among items and have become an important
target of data mining. The fuzzy association rules introduce fuzzy set theory to deal with the …