In system identification, interval (and fuzzy) estimates can lead to much better accuracy than the traditional statistical ones: General algorithm and case study

Sergey I. Kumkov, Vladik Kreinovich, Andrzej Pownuk. In system identification, interval (and fuzzy) estimates can lead to much better accuracy than the traditional statistical ones: General algorithm and case study. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017. pages 367-372, IEEE, 2017. [doi]

Abstract

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