An Interval Type-2 Fuzzy Neural Network for Cognitive Decisions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherInternational Academy, Research, and Industry Association
Pages159-164
Number of pages6
ISBN (Print)978-1-61208-340-7
Publication statusPublished - 25 May 2014
EventCognitive 2014 - Venice, Italy
Duration: 25 May 2014 → …

Conference

ConferenceCognitive 2014
Period25/05/14 → …

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