In this article, we discuss methods based on the combination of rough
sets and Boolean reasoning with applications in
pattern recognition, machine learning, data mining and conflict analysis.
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%0 Journal Article
%1 Pawlak2007
%A Pawlak, Zdzislaw
%A Skowron, Andrzej
%D 2006
%J Institute of Mathematics, Warsaw University, ul. Banacha 2, 02-097 Warsaw, Poland
%K (In)discernibility; Approximate Association Boolean Classifiers; Conflict Decision Discretization; Reducts; Rough Symbolic analysis grouping; reasoning; rules; sets; value
%P 41-73
%T Rough sets and Boolean reasoning
%V Information Sciences 177 (2007)
%X In this article, we discuss methods based on the combination of rough
sets and Boolean reasoning with applications in
pattern recognition, machine learning, data mining and conflict analysis.
@article{Pawlak2007,
abstract = {In this article, we discuss methods based on the combination of rough
sets and Boolean reasoning with applications in
pattern recognition, machine learning, data mining and conflict analysis.},
added-at = {2013-08-04T14:29:00.000+0200},
author = {Pawlak, Zdzislaw and Skowron, Andrzej},
biburl = {https://www.bibsonomy.org/bibtex/26b6ec3a96b9b59d600397be8a2e329f7/francesco.k},
interhash = {c9e7cf72bb002cfc6a9601e81a9788c3},
intrahash = {6b6ec3a96b9b59d600397be8a2e329f7},
journal = {Institute of Mathematics, Warsaw University, ul. Banacha 2, 02-097 Warsaw, Poland},
keywords = {(In)discernibility; Approximate Association Boolean Classifiers; Conflict Decision Discretization; Reducts; Rough Symbolic analysis grouping; reasoning; rules; sets; value},
owner = {23},
pages = {41-73},
timestamp = {2013-08-04T14:29:01.000+0200},
title = {Rough sets and Boolean reasoning},
volume = {Information Sciences 177 (2007)},
year = 2006
}