Orthopartitions are partitions with uncertainty. We survey their use in knowledge representation (KR) and machine learning (ML). In particular, in KR their connection with possibility theory, intuitionistic fuzzy sets and credal partitions is discussed. As far as ML is concerned, their use in soft clustering evaluation and to define generalized decision trees are recalled. The (open) problem of relating an orthopartition to a partial equivalence relation is also sketched.
Ciucci, D., Boffa, S., Campagner, A. (2022). Orthopartitions in Knowledge Representation and Machine Learning. In Rough Sets - International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings (pp.3-18). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-21244-4_1].
Orthopartitions in Knowledge Representation and Machine Learning
Ciucci D.
;Boffa S.;Campagner A.
2022
Abstract
Orthopartitions are partitions with uncertainty. We survey their use in knowledge representation (KR) and machine learning (ML). In particular, in KR their connection with possibility theory, intuitionistic fuzzy sets and credal partitions is discussed. As far as ML is concerned, their use in soft clustering evaluation and to define generalized decision trees are recalled. The (open) problem of relating an orthopartition to a partial equivalence relation is also sketched.
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