PROCEEDINGS IPMU '08
Techniques for Developing Large Scale Fuzzy Logic Systems
Jon C. Ervin, Sema E. Alptekin.
In this paper, we describe various
techniques used to make Intuitionistic
Fuzzy Logic Systems amenable to
operating on applications with large
numbers of inputs. A rule reduction
technique known as Combs method is
combined with an automated tuning
process based on Particle Swarm
Optimization. A second stage of tuning
on rule weights results in improved
performance and further reduction in
the size of the rule-base. The entire
process has been developed to operate
within the Matlab software
environment. The technique is tested
against the Wisconsin Breast Cancer
Database. The use of these tools shows
great promise in significantly
expanding the range and complexity of
problems that can be addressed using
Atanassov’s Intuitionistic Fuzzy Logic.
PDF full paper |