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» A Comparative Study of Fuzzy Sets and Rough Sets
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114
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ASC
2011
14 years 4 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
68
Voted
RSCTC
2004
Springer
150views Fuzzy Logic» more  RSCTC 2004»
15 years 2 months ago
Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis
illion abstracts. Problem. How to find sentences that talk about protein-protein interactions? Example (Non-Interaction Sentence) All our data are consistent with models in which ...
Filip Ginter, Tapio Pahikkala, Sampo Pyysalo, Jorm...
ASIAMS
2007
IEEE
15 years 3 months 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
2000
Springer
197views Fuzzy Logic» more  RSCTC 2000»
15 years 1 months ago
Rough Set Approach to CBR
We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for c...
Jan Wierzbicki
80
Voted
COSIT
2009
Springer
165views GIS» more  COSIT 2009»
15 years 4 months 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