A possibilistic analogue to Bayes estimation with fuzzy data and its application in machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07021-y.pdf
Reference41 articles.
1. Akbari MG, Khanjari Sadegh M (2012) Estimators based on fuzzy random variables and their mathematical properties. Iran J Fuzzy Syst 9:79–95
2. Arefi M, Taheri SM (2016) Possibilistic Bayesian inference based on fuzzy data. Int J Mach Learn Cybern 7:753–763
3. Bacani F, Barros LC (2017) Application of prediction models using fuzzy sets: a Bayesian inspired approach. Fuzzy Sets Syst 319:104–116
4. De Baets B, Tsiporkova E, Mesiar R (1999) Conditioning in possibility theory with strict order norms. Fuzzy Sets Syst 106:221–229
5. Bardakhchyan VG (2017) Fuzzy Bayesian inferences. Phys Math Sci 51:8–12
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