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ASC
2011
13 years 1 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
COSIT
2009
Springer
165views GIS» more  COSIT 2009»
14 years 25 days ago
To Be and Not To Be: 3-Valued Relations on Graphs
Spatial information requires models which allow us to answer ‘maybe’ to questions asking whether a location lies within a region. At the same time, models must account for data...
John G. Stell
ASIAMS
2007
IEEE
14 years 18 days ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
RSCTC
2004
Springer
164views Fuzzy Logic» more  RSCTC 2004»
13 years 11 months ago
Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System
Abstract. Acute abdominal pain in childhood is a common but diagnostically challenging problem facing Emergency Department personnel. Experienced physicians use a combination of ke...
Ken Farion, Wojtek Michalowski, Roman Slowinski, S...
RSCTC
2000
Springer
146views Fuzzy Logic» more  RSCTC 2000»
13 years 9 months ago
An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle
Induction of decision rules within the dominance-based rough set approach to the multiple-criteria sorting decision problem is discussed in this paper. We introduce an algorithm ca...
Salvatore Greco, Benedetto Matarazzo, Roman Slowin...