DocumentCode :
270885
Title :
Analyzing fuzzy association rules with Fingrams in KEEL
Author :
Pancho, David P. ; Alonso, J. Marcos ; Alcalá-Fdez, Jesús ; Magdalena, Luis
Author_Institution :
Eur. Centre for Soft Comput., Mieres, Spain
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
2352
Lastpage :
2359
Abstract :
This work presents the full integration of fuzzy inference-grams (Fingrams) in KEEL to visual analysis of fuzzy association rules. Fingrams graphically represent fuzzy rule-based systems (FRBSs) in 2D graphs that illustrate the interaction among fuzzy rules in terms of rule cofiring, i.e., paying attention to rule pairs simultaneous fired by a given input. The new module allows to generate Fingrams for fuzzy association rules created in the suite KEEL, that can be afterwards analyzed to comprehend the system behavior and improve it. We sketch the use and potentials in an illustrative example built in KEEL over a real-world dataset including qualitative assessments of a set of design chairs.
Keywords :
data mining; fuzzy reasoning; knowledge based systems; 2D graphs; Fingrams; KEEL software; fuzzy association rules; fuzzy inference-grams; fuzzy rule-based systems; qualitative assessments; rule cofiring; visual analysis; Algorithm design and analysis; Association rules; Fuzzy systems; Graphical user interfaces; Measurement; Software; Software algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2014.6891870
Filename :
6891870
Link To Document :
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