Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

33

RSEISP
2007
Springer

favoriteEmaildiscussreport

146views Control Systems» more RSEISP 2007»

Rough Sets and Approximation Schemes

14 years 5 months ago

Rough Sets and Approximation Schemes

Download www.cs.uky.edu

Abstract. Approximate reasoning is used in a variety of reasoning tasks in Logicbased Artiﬁcial Intelligence. In this abstract we compare a number of such reasoning schemes and show how they relate and differ from the approach of Pawlak’s Rough Sets.

Victor W. Marek, Miroslaw Truszczynski

Real-time Traffic

Approximate Reasoning | Control Systems | Logicbased Artiﬁcial Intelligence | Reasoning | RSEISP 2007 |

claim paper

Related Content

» Rough Set Methods in Approximation of Hierarchical Concepts

» Behavioral Pattern Identification Through Rough Set Modeling

» Rough Approximations under Level Fuzzy Sets

» DecisionTheoretic Rough Set Models

» Intuitionistic rough fuzziness and its generalizations

» Design of Rough Neurons Rough Set Foundation and Petri Net Model

» Rough Set Method Based on MultiGranulations

» Mining Approximative Descriptions of Sets Using Rough Sets

» Towards Rough Neural Computing Based on Rough Membership Functions Theory and Application

Post Info
More Details (n/a)

Added	09 Jun 2010
Updated	09 Jun 2010
Type	Conference
Year	2007
Where	RSEISP
Authors	Victor W. Marek, Miroslaw Truszczynski

Comments (0)