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An Interval Type-2 Fuzzy Neural Network for Cognitive Decisions

Leng, G, Ray, Anjan, McGinnity, TM, Coleman, SA, Maguire, LP and Vance, Philip (2014) An Interval Type-2 Fuzzy Neural Network for Cognitive Decisions. In: Cognitive 2014, Venice, Italy. IARIA. 6 pp. [Conference contribution]

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Abstract

In an ambient assisted living environment, raw data can often be very noisy making is difficulty to interrupt by a decision and reasoning system. To help reduce the effects of noise, we propose a decision and reasoning system which combines an interval fuzzy system and a self-organising fuzzy neural network (SOFNN) is presented in this paper. The method exploits the use of a trained standard SOFNN structure from a fuzzy neural network to initialise the proposed approach. Simulation results show that the proposed structure is more suitable for uncertain situations demonstrating a high level of robustness.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:29791
Deposited By: Dr Sonya Coleman
Deposited On:07 Jul 2014 09:40
Last Modified:07 Jul 2014 09:40

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