Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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| Original language | English |
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| Title of host publication | 2016 IEEE International Carnahan Conference on Security Technology |
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| Place of Publication | US |
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| Publisher | IEEE |
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| Number of pages | 8 |
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| ISBN (Electronic) | 978-1-5090-1072-1 |
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| ISBN (Print) | 978-1-5090-1073-8 |
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| DOIs | |
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| Publication status | Published - 16 Jan 2017 |
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| Event | IEEE International Carnahan Conference on Security Technology - US, Orlando, Florida, United States
Duration: 24 Oct 2016 → 27 Oct 2016 |
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| Conference | IEEE International Carnahan Conference on Security Technology |
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| Country | United States |
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| City | Orlando, Florida |
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| Period | 24/10/16 → 27/10/16 |
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Abstract
This paper proposes a fuzzy interval valued multicriteria decision making (MCDM) technique that aggregates information from multi-modal feature sets during decision making in a 3D face recognition system. In this paper, an interval
valued fuzzy TOPSIS technique is applied to a 3D face recognition system that is benchmarked against a set of databases. Such a system is shown to be useful in decision making when the choice of alternatives of the feature sets is
combinatorial and complex.
Notes
Soodamani, R & Vimal, V (2016), Vehicle Detection for Traffic Flow Analysis, ICCST2016, Paper presented at the IEEE International Carnahan Conference on Security Technology, 24-27 October 2016, Orlando, Florida. This is the Accepted Manuscript version. The Version of Record is available online at IEEE Explore, doi: https://doi.org/10.1109/CCST.2016.7815709.
ID: 10528366