Back to Search Start Over

Enhancing Fingrams to deal with precise fuzzy systems

Enhancing Fingrams to deal with precise fuzzy systems

Authors :
David P. Pancho
Luis Magdalena
Jose M. Alonso
Source :
Fuzzy Sets and Systems. 297:1-25
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Interpretability is a highly valued capability of fuzzy systems that turns essential when dealing with human interaction. Precise fuzzy modeling prioritizes performance at the cost of harming interpretability. Fuzzy Inference-grams (Fingrams) permit the graphical representation of fuzzy systems facilitating their comprehension, analysis and interpretation at inference level. We enhance Fingrams to better represent and analyze precise fuzzy systems. A specific metric and new representations handle the particularities of such systems. A new visual artifact allows to discover the set of data instances not covered by a given fuzzy system. A novel visual representation allows to study in detail the elements that are involved in the inference of a single data instance. The potentials of the enhanced methodology are sketched by taking the Fuzzy Unordered Rule Induction Algorithm (FURIA) as an illustrative example of precise fuzzy system. For instance, a highly valuable representation is obtained for the stretching mechanism of FURIA, thus facilitating its comprehensibility.

Details

ISSN :
01650114
Volume :
297
Database :
OpenAIRE
Journal :
Fuzzy Sets and Systems
Accession number :
edsair.doi...........48a13280432d11754c719d993694e938
Full Text :
https://doi.org/10.1016/j.fss.2015.05.019