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Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions
Fuzzy rough set theory is a powerful tool to deal with uncertainty information, which has
been successfully applied to the fields of attribute reduction, rule extraction, classification …
been successfully applied to the fields of attribute reduction, rule extraction, classification …
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 …
GBNRS: A novel rough set algorithm for fast adaptive attribute reduction in classification
Feature reduction is an important aspect of Big Data analytics on today's ever-larger
datasets. Rough sets are a classical method widely applied in attribute reduction. Most …
datasets. Rough sets are a classical method widely applied in attribute reduction. Most …
Mining smart card data for transit riders' travel patterns
To mitigate the congestion caused by the ever increasing number of privately owned
automobiles, public transit is highly promoted by transportation agencies worldwide. A better …
automobiles, public transit is highly promoted by transportation agencies worldwide. A better …
[کتاب][B] Data mining: concepts and techniques
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
Three-way decision making approach to conflict analysis and resolution using probabilistic rough set over two universes
Conflict analysis aims to identify the intrinsic reasons and find a feasible consensus strategy
for a conflict situation. Rough set theory was used to study conflict analysis decision-making …
for a conflict situation. Rough set theory was used to study conflict analysis decision-making …
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 …
A sensitivity analysis in MCDM problems: A statistical approach
This study provides a model for result consistency evaluation of multi-criteria decision-
making (MDM) methods and selection of the optimal one. The study presents the results of …
making (MDM) methods and selection of the optimal one. The study presents the results of …
Rough sets theory for multicriteria decision analysis
The original rough set approach proved to be very useful in dealing with inconsistency
problems following from information granulation. It operates on a data table composed of a …
problems following from information granulation. It operates on a data table composed of a …
Rough set theory and its applications to data analysis
Z Pawlak - Cybernetics & Systems, 1998 - Taylor & Francis
This paper gives basic ideas of rough set theory a new approach to data analysis. The lower
and upper approximation of a set, the basic operations of the theory, are intuitively explained …
and upper approximation of a set, the basic operations of the theory, are intuitively explained …