An intractable but common problem in photovoltaic systems is that the power generated by
photovoltaic will reduce seriously due to partial shading. In order to solve this problem, the …

Rough set theory and belief function theory, two popular mathematical frameworks for
uncertainty representation, have been widely applied in different settings and contexts …

Attribute reduction serves as a pivotal topic of rough set theory for data analysis. The ideas
of tri-level thinking from three-way decision can shed new light on three-level attribute …

Many previous studies on face recognition attempted to seek a precise classifier to achieve
a low misclassification error, which is based on an assumption that all misclassification costs …

The model of three-way concept lattices, a novel model for widely used three-way decisions,
is an extension of classical concept lattices in formal concept analysis. This paper …

Steganography detection based on Rich Model features is a hot research direction in
steganalysis. However, rich model features usually result a large computation cost. To …

The scale of the radius for constructing neighborhood relation has a great effect on the
results of neighborhood rough sets and corresponding measures. A very small radius …

Three-way concept analysis is a newly proposed area of formal concept analysis from which
one can obtain both the inclusion decision and the exclusion decision. In general, given a …

Attribute reduction of rough set theory underlies knowledge acquisition and has two
hierarchical types (classification-based and class-specific attribute reducts) and two …

Recently, by combining rough set theory with granular computing, pessimistic and optimistic
multigranulation rough sets have been proposed to derive “AND” and “OR” decision rules …