NDLI: On the influence of feature selection in fuzzy rule-based regression model generation

Content Provider	Scilit
Author	Antonelli, Michela Ducange, Pietro Marcelloni, Francesco Segatori, Armando
Copyright Year	2016
Description	Journal: Information Sciences
Related Links	https://arpi.unipi.it/bitstream/11568/799455/2/Marcelloni_799455.pdf
Ending Page	669
Page Count	21
Starting Page	649
ISSN	00200255
DOI	10.1016/j.ins.2015.09.045
Journal	Information Sciences
Volume Number	329
Language	English
Publisher	Elsevier BV
Publisher Date	2016-02-01
Access Restriction	Open
Subject Keyword	Journal: Information Sciences Information Systems Generation Fuzzy Rule Based Models Feature Selection Fuzzy Rule Based Models Generated Generating the Fuzzy Rule
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Information Systems and Management Theoretical Computer Science Control and Systems Engineering Computer Science Applications Software

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On the influence of feature selection in fuzzy rule-based regression model generation