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Granular computing: perspectives and challenges
Granular computing, as a new and rapidly growing paradigm of information processing, has
attracted many researchers and practitioners. Granular computing is an umbrella term to …
attracted many researchers and practitioners. Granular computing is an umbrella term to …
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 …
Rough sets and Boolean reasoning
Rough sets and Boolean reasoning - ScienceDirect Skip to main contentSkip to article
Elsevier logo Journals & Books Help Search My account Sign in View PDF Download full …
Elsevier logo Journals & Books Help Search My account Sign in View PDF Download full …
Topological approaches to covering rough sets
Rough sets, a tool for data mining, deal with the vagueness and granularity in information
systems. This paper studies covering-based rough sets from the topological view. We …
systems. This paper studies covering-based rough sets from the topological view. We …
On three types of covering-based rough sets
Rough set theory is a useful tool for data mining. It is based on equivalence relations and
has been extended to covering-based generalized rough set. This paper studies three kinds …
has been extended to covering-based generalized rough set. This paper studies three kinds …
Generalized rough sets based on relations
Rough set theory has been proposed by Pawlak as a tool for dealing with the vagueness
and granularity in information systems. The core concepts of classical rough sets are lower …
and granularity in information systems. The core concepts of classical rough sets are lower …
On the generalization of fuzzy rough sets
DS Yeung, D Chen, ECC Tsang… - … on fuzzy systems, 2005 - ieeexplore.ieee.org
Rough sets and fuzzy sets have been proved to be powerful mathematical tools to deal with
uncertainty, it soon raises a natural question of whether it is possible to connect rough sets …
uncertainty, it soon raises a natural question of whether it is possible to connect rough sets …
Going-concern prediction using hybrid random forests and rough set approach
Corporate going-concern opinions are not only useful in predicting bankruptcy but also
provide some explanatory power in predicting bankruptcy resolution. The prediction of a …
provide some explanatory power in predicting bankruptcy resolution. The prediction of a …
Fuzzy soft covering-based multi-granulation fuzzy rough sets and their applications
In this paper, with the aid of fuzzy soft β β-neighborhoods, we introduce fuzzy soft covering-
based multi-granulation fuzzy rough set models. We examine some of the relevant …
based multi-granulation fuzzy rough set models. We examine some of the relevant …
[کتاب][B] Pattern recognition algorithms for data mining
This valuable text addresses different pattern recognition (PR) tasks in a unified framework
with both theoretical and experimental results. Tasks covered include data condensation …
with both theoretical and experimental results. Tasks covered include data condensation …