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Semantics-preserving dimensionality reduction: rough and fuzzy-rough-based approaches
Semantics-preserving dimensionality reduction refers to the problem of selecting those input
features that are most predictive of a given outcome; a problem encountered in many areas …
features that are most predictive of a given outcome; a problem encountered in many areas …
[PDF][PDF] Rough sets: A tutorial
A rapid growth of interest in rough set theory [297] and its applications can be lately seen in
the number of international workshops, conferences and seminars that are either directly …
the number of international workshops, conferences and seminars that are either directly …
Rough sets models inspired by supra-topology structures
Our aim of writing this manuscript is to found novel rough-approximation operators inspired
by an abstract structure called “supra-topology”. This approach is more relaxed than …
by an abstract structure called “supra-topology”. This approach is more relaxed than …
An improvement of rough sets' accuracy measure using containment neighborhoods with a medical application
The rough set theory is a nonstatistical mathematical approach to address the issues of
vagueness and uncertain knowledge. The rationale of this theory relies on associating a …
vagueness and uncertain knowledge. The rationale of this theory relies on associating a …
Rudiments of rough sets
Worldwide, there has been a rapid growth in interest in rough set theory and its applications
in recent years. Evidence of this can be found in the increasing number of high-quality …
in recent years. Evidence of this can be found in the increasing number of high-quality …
Soft sets and soft rough sets
In this study, we establish an interesting connection between two mathematical approaches
to vagueness: rough sets and soft sets. Soft set theory is utilized, for the first time, to …
to vagueness: rough sets and soft sets. Soft set theory is utilized, for the first time, to …
MGRS: A multi-granulation rough set
The original rough set model was developed by Pawlak, which is mainly concerned with the
approximation of sets described by a single binary relation on the universe. In the view of …
approximation of sets described by a single binary relation on the universe. In the view of …
Neighborhood rough set based heterogeneous feature subset selection
Feature subset selection is viewed as an important preprocessing step for pattern
recognition, machine learning and data mining. Most of researches are focused on dealing …
recognition, machine learning and data mining. Most of researches are focused on dealing …
A novel three-way decision model based on incomplete information system
As a natural extension of three-way decisions with incomplete information, this paper
provides a novel three-way decision model based on incomplete information system. First …
provides a novel three-way decision model based on incomplete information system. First …
Rough sets: some extensions
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