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Fuzzy more isn't not less; it is not much less
Citation
Malhotra, V, Fuzzy more isn't not less; it is not much less, Proceedings of the 2001 International Joint Conference on Neural Networks, 15-19 July 2001, Washington, DC, pp. 1340-1344. ISBN 0-7803-7046-5 (2001) [Refereed Conference Paper]
Abstract
Fuzzy values are convenient way for representing measurements that are inherently uncertain. Clearly, two uncertain values can not be compared using the standard greater than operator - fuzziness would render many cases liable to incorrect outcomes. In this paper, we develop a risk-based model to set a threshold that can be used to minimise risk exposure from incorrect outcomes in comparisons involving fuzzy values.
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Research Division: | Information and Computing Sciences |
| Research Group: | Artificial Intelligence and Image Processing |
| Research Field: | Virtual Reality and Related Simulation |
| Objective Division: | Information and Communication Services |
| Objective Group: | Other Information and Communication Services |
| Objective Field: | Information and Communication Services not elsewhere classified |
| UTAS Author: | Malhotra, V (Dr Vishv Malhotra) |
| ID Code: | 23558 |
| Year Published: | 2001 |
| Deposited By: | Computing |
| Deposited On: | 2001-08-01 |
| Last Modified: | 2017-04-07 |
| Downloads: | 0 |
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