Conflict analysis aims to identify the intrinsic reasons and find a feasible consensus strategy
for a conflict situation. Rough set theory was used to study conflict analysis decision-making …

As a natural extension of three-way decisions with incomplete information, this paper
provides a novel three-way decision model based on incomplete information system. First …

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 …

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 …

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 …

Based on decision-theoretic rough sets (DTRS), we augment the existing model by
introducing into the granular values. More specifically, we generalize a concept of the …

Attribute reduction is an important application of rough set theory. Most existing rough set
models do not consider the weight information of attributes in information systems. In this …

As a highly prevalent disease, the liver disease is usually diagnosed by testing with several
aspects. Due to different accuracies of tests, the obtained results may be different, which …

Prediction methods have become a hot topic in intelligent decision making. Most of the
existing prediction methods focus on the prediction accuracy and stability. As a second …

Rough set theory has been used extensively in fields of complexity, cognitive sciences, and
artificial intelligence, especially in numerous fields such as expert systems, knowledge …