This paper investigates the decision-theoretic rough sets involved multiple decision-makers
with linguistic evaluation information for the uncertainty and risk under the framework of …

In classical rough set models, attribute reduction generally keeps the positive or non-
negative regions unchanged, as these regions do not decrease with the addition of …

A three-way, three-valued, or three-region approximation of a fuzzy set is constructed from a
pair of thresholds (α, β) on the fuzzy membership function. An element whose membership …

Text of abstract Logistic regression analysis is an effective approach to the classification
problem. However, it may lead to high misclassification rate in real decision procedures …

A Pawlak approximation space is a pair of a ground set/space and a quotient set/space of
the ground set induced by an equivalence relation on the ground set. The quotient space is …

Probabilistic approaches to rough sets in granulation, approximation and rule induction are
reviewed. The Shannon entropy function is used to quantitatively characterize partitions of a …

Stock investment is characterized by high risk and massive profit, so it is necessary to
propose a scientific and accurate stock assessment and selection method for avoiding …

The concept of q-rung orthopair fuzzy sets (q-ROFSs) severs as an extended form of
orthopair fuzzy sets, which excels in flexibly depicting imprecise information existed in …

Based on decision-theoretic rough set model of three-way decisions, we augment the
existing model by introducing linguistic terms. Considering the two types of parameters …

The digitalization of small and medium-sized enterprises within the construction sector is
significantly limited as a result of their distinct characteristics. Despite the potential for …