A comparative study between two algorithms for computing the generalized centroid of an interval type-2 fuzzy set
- Resource Type
- Conference
- Authors
- Bernal, Hector; Duran, Karina; Melgarejo, Miguel
- Source
- 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence) Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on. :954-959 Jun, 2008
- Subject
- Computing and Processing
Fuzzy systems
Conferences
Programming
Embedded system
Fuzzy sets
Fuzzy logic
Random variables
- Language
- ISSN
- 1098-7584
this paper presents a comparative study between two iterative algorithms for computing the generalized centroid of an interval type-2 fuzzy set. The first procedure is the so called Enhanced Karnik-Mendel (EKM) algorithm. The latter, introduced here as a Recursive Algorithm with Unique Loop (RAUL), is a modification of a previously reported procedure. The study compares the computing time of both algorithms for three prototype Footprints of Uncertainty and several discretizations of the universe of discourse. Results point out that RAUL is faster than the EKM algorithm when less than 100 discretization points are used to describe the footprint of uncertainty.