Rudiments of rough sets

Z Pawlak, A Skowron - Information sciences, 2007 - Elsevier
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 …

Rough sets and Boolean reasoning

Z Pawlak, A Skowron - Information sciences, 2007 - Elsevier
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Set-valued information systems

YY Guan, HK Wang - Information Sciences, 2006 - Elsevier
Set-valued information systems are generalized models of single-valued information
systems. Incomplete information systems can be viewed as disjunctively interpreted set …

Information granules: Towards foundations of granular computing

A Skowron, J Stepaniuk - International Journal of Intelligent …, 2001 - Wiley Online Library
We introduce basic notions related to granular computing, namely the information granule
syntax and semantics as well as the inclusion and closeness (similarity) relations of …

[图书][B] Rough–Granular Computing in Knowledge Discovery and Data Mining

J Stepaniuk - 2008 - books.google.com
Page 1 Studies in Computational Intelligence 152 S Jarosław Stepaniuk Rough - Granular
Computing in Knowledge Discovery and Data Mining R43 563 0404 R437 R438 Springer …

Rough-set-based decision support

R Słowiński, S Greco, B Matarazzo - Search methodologies: introductory …, 2014 - Springer
In this chapter, we are concerned with the discovery of knowledge from data describing a
decision situation. A decision situation is characterized by a set of states or examples, which …

Combined soft computing model for value stock selection based on fundamental analysis

KY Shen, GH Tzeng - Applied Soft Computing, 2015 - Elsevier
The stock selection problem is one of the major issues in the investment industry, which is
mainly solved by analyzing financial ratios. However, considering the complexity and …

Hierarchical classifiers for complex spatio-temporal concepts

JG Bazan - Transactions on rough sets IX, 2008 - Springer
The aim of the paper is to present rough set methods of constructing hierarchical classifiers
for approximation of complex concepts. Classifiers are constructed on the basis of …

Rough mereological calculi of granules: A rough set approach to computation

L Polkowski, A Skowron - Computational Intelligence, 2001 - Wiley Online Library
Rough Mereology is a paradigm allowing for a synthesis of main ideas of two potent
paradigms for reasoning under uncertainty: Fuzzy Set Theory and Rough Set Theory …

[HTML][HTML] Rough set and rule-based multicriteria decision aiding

R Slowinski, S Greco, B Matarazzo - Pesquisa Operacional, 2012 - SciELO Brasil
The aim of multicriteria decision aiding is to give the decision maker a recommendation
concerning a set of objects evaluated from multiple points of view called criteria. Since a …