Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7685
Title: | Genetic algorithms used for determining belief measures and plausibility measures |
Authors: | Wang Zhenyuan Prof. LEUNG Kwong Sak Wang Jia |
Issue Date: | 1997 |
Publisher: | IEEE |
Source: | Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 1997, pp. 195 - 198 |
Journal: | Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS |
Abstract: | Regarding the Choquet integral as a multi-input single-output system, we can use a set of input-output data to determine the belief measure or plausibility measure for the Choquet integral concerned. The least square method and a genetic algorithm are applied for this purpose. |
Type: | Conference Proceedings |
URI: | http://hdl.handle.net/20.500.11861/7685 |
Appears in Collections: | Applied Data Science - Publication |
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