Generalized probabilistic rough set models

This paper presents a probabilistic version of generalized rough set models. It generalizes the standard algebraic and probabilistic rough set models in two aspects. An arbitrary binary relation is used instead of an equivalence relation. A probability function on the universe is used instead of com...

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Main Authors: Yao, Y.Y., Wong, S.K.M.
Format: Conference Proceeding
Language:English
Subjects:
Bayesian methods
Computer science
Fuzzy logic
Fuzzy sets
Lakes
Probability
Proposals
Rough sets
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Wong, S.K.M.
description This paper presents a probabilistic version of generalized rough set models. It generalizes the standard algebraic and probabilistic rough set models in two aspects. An arbitrary binary relation is used instead of an equivalence relation. A probability function on the universe is used instead of computing probabilities from the cardinality of sets. Fundamental issues related to probabilistic rough set models are examined.
doi_str_mv 10.1109/AFSS.1996.583582
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subjects Bayesian methods
Computer science
Fuzzy logic
Fuzzy sets
Lakes
Probability
Proposals
Rough sets
title Generalized probabilistic rough set models
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