DocumentCode
3448318
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
fYear
1996
fDate
11-14 Dec 1996
Firstpage
158
Lastpage
163
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/AFSS.1996.583582
Filename
583582
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