article

Fuzzy sets in the fight against digital obesity

Author:

Trevor MartinAuthors Info & Claims

Fuzzy Sets and Systems, Volume 156, Issue 3

Pages 411 - 417

https://doi.org/10.1016/j.fss.2005.05.038

Published: 01 December 2005 Publication History

Abstract

''Digital Obesity''-the problem of too much data-arises from recent advances in storage and communication technologies. The Semantic Web has been proposed as a possible solution to this problem. We argue that the underlying binary logic is inadequate and that a fuzzy approach is required.

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Cited By

Pratama MLu JLughofer EZhang GAnavatti S(2016)Scaffolding type-2 classifier for incremental learning under concept driftsNeurocomputing10.1016/j.neucom.2016.01.049191:C(304-329)Online publication date: 26-May-2016
https://dl.acm.org/doi/10.1016/j.neucom.2016.01.049
Calegari SSanchez E(2008)Object-fuzzy concept network: An enrichment of ontologies in semantic information retrievalJournal of the American Society for Information Science and Technology10.5555/1458620.145863859:13(2171-2185)Online publication date: 1-Nov-2008
https://dl.acm.org/doi/10.5555/1458620.1458638
Pratama MLu JZhang G(undefined)A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams2015 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2015.487(2792-2797)
https://dl.acm.org/doi/10.1109/SMC.2015.487

Fuzzy sets in the fight against digital obesity

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Published In

cover image Fuzzy Sets and Systems

Fuzzy Sets and Systems Volume 156, Issue 3

December, 2005

172 pages

ISSN:0165-0114

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Copyright © Elsevier B.V. © 2005.

Publisher

Elsevier North-Holland, Inc.

United States

Publication History

Published: 01 December 2005

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Cited By

Pratama MLu JLughofer EZhang GAnavatti S(2016)Scaffolding type-2 classifier for incremental learning under concept driftsNeurocomputing10.1016/j.neucom.2016.01.049191:C(304-329)Online publication date: 26-May-2016
https://dl.acm.org/doi/10.1016/j.neucom.2016.01.049
Calegari SSanchez E(2008)Object-fuzzy concept network: An enrichment of ontologies in semantic information retrievalJournal of the American Society for Information Science and Technology10.5555/1458620.145863859:13(2171-2185)Online publication date: 1-Nov-2008
https://dl.acm.org/doi/10.5555/1458620.1458638
Pratama MLu JZhang G(undefined)A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams2015 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2015.487(2792-2797)
https://dl.acm.org/doi/10.1109/SMC.2015.487

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