Title :
Analyzing fuzzy association rules with Fingrams in KEEL
Author :
Pancho, David P. ; Alonso, J. Marcos ; AlcalaÌ-Fdez, JesuÌs ; Magdalena, Luis
Author_Institution :
Eur. Centre for Soft Comput., Mieres, Spain
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;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891870