Title :
Towards a coevolutionary approach for interval type-2 fuzzy modeling
Author :
Hostos, Hector ; Sanabria, Federico ; Mendez, Oscar ; Melgarejo, Miguel
Author_Institution :
Lab. for Autom., Microelectron. & Comput. Intell., Univ. Distrital Francisco Jose de Caldas, Bogota, Colombia
Abstract :
This paper presents a particular case for a possible approach to coevolutionary interval type-2 fuzzy modeling. Some principles derived from a well-founded coevolutionary method for type one fuzzy systems are used and other rising questions about the application of coevolution to type-2 fuzzy systems are proposed. A benchmark problem related to design interval type-2 fuzzy time forecasters for time series prediction is treated by means of cooperative coevolution. Statistical results show that interval type-2 fuzzy systems working as evolvable individuals could be appropriated for evolutionary fuzzy modeling, since better and more stable solutions are found in comparison to type-1 fuzzy systems.
Keywords :
evolutionary computation; forecasting theory; fuzzy systems; modelling; time series; coevolutionary interval type-2 fuzzy modeling; cooperative coevolution; fuzzy system; fuzzy time forecaster; time series prediction; Computational modeling; Encoding; Forecasting; Fuzzy systems; Time series analysis; Training; Uncertainty; coevolution; evolutionary fuzzy modeling; fuzzy systems design; type-2 fuzzy systems;
Conference_Titel :
Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-61284-077-2
DOI :
10.1109/T2FUZZ.2011.5949563