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 …

Rough sets and Boolean reasoning - ScienceDirect Skip to main contentSkip to article
Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue Search …

The two-volume set of proceedings of IJCRS 2017, the 2017 International Joint Conference
on Rough Sets, contains the results of the meeting of the International Rough Set Society …

We we present some algorithms, based on rough set theory, that can be used for the
problem of new cases classification. Most of the algorithms were implemented and included …

The term credit scoring is extensively used in credit industries for decision making and
measuring the risk associated with an applicant. It uses applicants' historical data for credit …

The aim of this paper is to give rudiments of rough set theory and present some recent
research directions proposed by the author. Rough set theory is a new mathematical …

A state-of-the-art review of the literature related to economic and financial prediction using
rough sets model is presented, with special emphasis on the business failure prediction …

Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in
current research and industrial applications. Processing massive amounts of data generated …

Since its introduction by George Boole during the mid-1800s, Boolean algebra has become
an important part of the lingua franca of mathematics, science, engineering, and research in …

Rough set approach to reasoning under uncertainty is based on inducing knowledge
representation from data under constraints expressed by discernibility or, more generally …