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

fYear

2011

fDate

11-15 April 2011

Firstpage

23

Lastpage

30

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2011 IEEE Symposium on

Conference_Location

Paris

Print_ISBN

978-1-61284-077-2

Type

conf

DOI

10.1109/T2FUZZ.2011.5949563

Filename

5949563