Title :
An Interval type-2 Neural Fuzzy Inference System based on Piaget´s action-cognitive paradigm
Author :
Cheu, Eng-Yeow ; Ng, See-Kiong ; Quek, Hiok-Chai
Author_Institution :
Centre for Comput. Intell., Nanyang Technol. Univ., Singapore
Abstract :
Type-1 fuzzy system is able to provide an inference mechanism to reason with imprecise information, but it is unable to do so under linguistic and numerical uncertainties. While the incorporation of interval type-2 fuzzy set can offer a model for handling further uncertainty, it is relatively difficult to extract the footprint of uncertainty information. In addition, fuzzy systems are unable to automatically acquire the linguistic rules to model the problem. In this paper, an interval type-2 fuzzy neural model named Interval type-2 Neural Fuzzy Inference System (IT2NFIS) is proposed, to automatically generate the linguistic model with interval type-2 fuzzy sets and thus their faced uncertainties. The structure identification algorithm is based on Piaget´s cognitive view of an action-driven cognitive development in human. IT2NFIS is evaluated on Nakanishi data sets and the results show that IT2NFIS is comparable if not superior to other models.
Keywords :
cognition; computational linguistics; fuzzy neural nets; fuzzy reasoning; fuzzy set theory; fuzzy systems; type theory; uncertainty handling; Piaget action-cognitive paradigm; interval type-2 fuzzy set; interval type-2 neural fuzzy inference system; linguistic rule; structure identification algorithm; uncertainty handling; Data mining; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Humans; Inference algorithms; Inference mechanisms; Mathematical model; Neural networks; Uncertainty;
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
DOI :
10.1109/CEC.2009.4983044
