106 search results - page 4 / 22 » Rough Approximations under Level Fuzzy Sets |
COSIT
2009
Springer
14 years 2 months ago
2009
Springer
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...
RSCTC
1998
Springer
13 years 11 months ago
1998
Springer
This paper reviews and discusses generalizations of Pawlak rough set approximation operators in mathematical systems, such as topological spaces, closure systems, lattices, and pos...
ICCBR
2001
Springer
13 years 12 months ago
2001
Springer
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
FUZZIEEE
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
RSCTC
2000
Springer
13 years 11 months ago
2000
Springer
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...