Output details
15 - General Engineering
Bournemouth University
Article title
GT2FC : An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier
Type
D - Journal article
DOI
-
Title of journal
IEEE Transactions on Fuzzy Systems (TFS)
Article number
n/a
Volume number
n/a
Issue number
-
First page of article
1
ISSN of journal
1063-6706
Year of publication
2013
URL
-
Number of additional authors
1
Additional information
The algorithmic approach presented is novel as the results were obtained using an ambient intelligence application, where the goal is to exploit sensed data (from sensors and actuators) to monitor the living space. The results show not only the suitability of the proposed approach, but also better performance compared to the current state-of-the-art methods. Published in 2013 the paper has already resulted in Bouchachia being invited to contribute to a 2014 handbook on computational intelligence to be edited by Prof. Plamen Angelov, Lancaster University and published by World Scientific. It will include chapters by world leaders in the respective topic.
Interdisciplinary
-
Cross-referral requested
11 - Computer Science and Informatics
Research group
2 - Smart Technology
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
