Data Processing under Fuzzy Uncertainty: Towards More Accurate Algorithms

Authors

Marina Tuyako Mizukoshi, Federal University of GoiasFollow
Weldon Lodwick, University of Colorado DenverFollow
Martine Ceberio, The University of Texas at El PasoFollow
Olga Kosheleva, The University of Texas at El PasoFollow
Vladik Kreinovich, The University of Texas at El PasoFollow

Publication Date

12-1-2022

Comments

Technical Report: UTEP-CS-22-124

Abstract

Data that we process comes either from measurements or from experts -- or from the results of previous data processing that were also based on measurements and/or expert estimates. In both cases, the data is imprecise. To gauge the accuracy of the results of data processing, we need to take the corresponding data uncertainty into account. In this paper, we describe a new algorithm for taking fuzzy uncertainty into account, an algorithm that, for small number of inputs, leads to the same or even better accuracy than the previously proposed methods.