Title :
Generalized probabilistic rough set models
Author :
Yao, Y.Y. ; Wong, S.K.M.
Author_Institution :
Dept. of Comput. Sci., Lakehead Univ., Thunder Bay, Ont., Canada
Abstract :
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
Keywords :
fuzzy logic; fuzzy set theory; inference mechanisms; probability; arbitrary binary relation; cardinality of sets; generalized probabilistic rough set models; probability function; Bayesian methods; Computer science; Fuzzy logic; Fuzzy sets; Lakes; Probability; Proposals; Rough sets;
Conference_Titel :
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location :
Kenting
Print_ISBN :
0-7803-3687-9
DOI :
10.1109/AFSS.1996.583582
