Title :
Takagi-Sugeno-Kang type fuzzy models with fuzzy equations in the consequence part
Author :
Walaszek-Babiszewska, Anna
Author_Institution :
Dept. of Control & Comput. Eng., Opole Univ. of Technol., Opole, Poland
Abstract :
This paper is focused on the extending Takagi-Sugeno-Kang (TSK) types fuzzy models. The propositions of the models with a fuzzy set-valued function in the consequence part as well as the models with the fuzzy time series in the consequence part are presented. Also chosen theoretical aspects of the creating knowledge bases and the fuzzy reasoning procedure are presented.
Keywords :
fuzzy reasoning; fuzzy set theory; time series; Takagi-Sugeno-Kang type fuzzy models; fuzzy equation; fuzzy reasoning procedure; fuzzy set-valued function; fuzzy time series; knowledge bases procedure; Biological system modeling; Computational modeling; Fuzzy sets; Fuzzy systems; Input variables; Mathematical model; Uncertainty;
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2010 15th International Conference on
Conference_Location :
Miedzyzdroje
Print_ISBN :
978-1-4244-7828-6
DOI :
10.1109/MMAR.2010.5587260
