MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data

Title
MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data
Authors
Keywords
Fuzzy rule-based systems, Multi-objective evolutionary algorithms, Fuzzy feature selection, Fuzzy mutual information, Rule pruning, High-dimensional regression problems
Journal
INFORMATION SCIENCES
Volume 496, Issue -, Pages 1-24
Publisher
Elsevier BV
Online
2019-05-08
DOI
10.1016/j.ins.2019.04.035

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