Flexible Bootstrap for Fuzzy Data Based on the Canonical Representation
Several new resampling methods for generating bootstrap samples of fuzzy numbers are proposed. To avoid undesired repetitions in the secondary samples we do not draw randomly directly observations from the primary samples but construct them allowing for some modifications in their membership functio...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2020-10-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/125945339/view |