Representing uncertainty and imprecision in machine learning: A survey on belief functions.
Zhe LiuSukumar LetchmunanPublished in: J. King Saud Univ. Comput. Inf. Sci. (2024)
Keyphrases
- belief functions
- machine learning
- handling uncertainty
- possibility theory
- uncertain information
- dempster shafer
- imprecise probabilities
- fuzzy numbers
- dempster shafer theory
- probability theory
- linguistic summarization
- uncertain reasoning
- probability function
- markov tree
- fuzzy logic
- fuzzy measures
- probability measures
- evidential reasoning
- pattern recognition
- combination rule
- fuzzy sets
- set valued
- decision trees
- neural network
- computer vision
- incomplete information
- distributive lattices