Rough membership and Bayesian confirmation measures for parameterized rough sets

S Greco, B Matarazzo, R Słowiński - … Workshop on Rough Sets, Fuzzy Sets …, 2005 - Springer
A generalization of the original idea of rough sets and variable precision rough sets is
introduced. This generalization is based on the concept of absolute and relative rough …

Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets

S Greco, B Matarazzo, R Słowiński - Rough Sets, Fuzzy Sets, Data Mining, and … - infona.pl
A generalization of the original idea of rough sets and variable precision rough sets is
introduced. This generalization is based on the concept of absolute and relative rough …

Rough membership and Bayesian confirmation measures for parameterized rough sets

S Greco, B Matarazzo… - Rough Sets, Fuzzy Sets …, 2005 - researchportal.port.ac.uk
A generalization of the original idea of rough sets and variable precision rough sets is
introduced. This generalization is based on the concept of absolute and relative rough …

Rough membership and bayesian confirmation measures for parameterized rough sets

S Greco, B Matarazzo, R Słowiński - … on Rough Sets, Fuzzy Sets, Data …, 2005 - dl.acm.org
A generalization of the original idea of rough sets and variable precision rough sets is
introduced. This generalization is based on the concept of absolute and relative rough …

[引用][C] Rough membership and bayesian confirmation measures for parameterized rough sets

S GRECO, B MATARAZZO… - Lecture notes in …, 2005 - pascal-francis.inist.fr
Rough membership and bayesian confirmation measures for parameterized rough sets CNRS
Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search …

[引用][C] Rough membership and bayesian confirmation measures for parameterized rough sets

S GRECO, B MATARAZZO, R SŁOWINSKI - Lecture notes in computer …, 2005 - Springer

[引用][C] Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets

S Greco, B Matarazzo, R Słowiński - Rough Sets, Fuzzy Sets, Data Mining …, 2005 - Springer