Rough set theory is an efficient tool for dealing with inexact and uncertain information.
Numerous studies have focused on rough set theory and associated methodologies, and in …

A Historical Account of Types of Fuzzy Sets and Their Relationships Page 1 IEEE
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …

The key strategy of the three-way decisions theory is to consider a decision-making problem
as a ternary classification one (ie acceptance, rejection and non-commitment). Recently, this …

Attribute reduction is one of the most important applications of fuzzy rough sets in machine
learning and pattern recognition. Most existing methods employ the intersection operation of …

Abstract Three-way decision (3WD) models have been widely investigated in the fields of
approximate reasoning and decision making. Recently, sequential 3WD models have …

Neighborhood rough sets are widely used as an effective tool to deal with numerical data.
However, most of the existing neighborhood granulation models cannot well describe the …

Attribute subset selection is an important issue in data mining and information processing.
However, most automatic methodologies consider only the relevance factor between …

Three-way decisions with decision-theoretic rough sets (DTRSs) provide a new
methodology to confront risk decision problems. The risk is associated with the loss function …

Decision-theoretic rough set provides a new perspective to handle decision-making
problems under uncertainty and risk. The three-way decision theory proposed by Yao is …

The original Pawlak's rough set approach based on indiscernibility relation (single
granularity) has been extended to multigranulation rough set structure in the recent years …