Probabilistic approaches have been applied to the theory of rough set in several forms,
including decision-theoretic analysis, variable precision analysis, and information-theoretic …

Three-way decisions provide a means for trading off different types of classification error in
order to obtain a minimum cost ternary classifier. This paper compares probabilistic three …

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 models are a probabilistic extension of the algebraic rough set
model. The required parameters for defining probabilistic lower and upper approximations …

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 …

In dealing with risk in real decision problems, decision-theoretic rough sets with loss
functions aim to obtain optimization decisions by minimizing the overall risk with Bayesian …

As a natural extension of three-way decisions, this paper presents a novel three-way
decision model with order information. First, we do some comparative analysis between …

Generalized approximation algebras and approximation algebras are defined as a
theoretical counterpart of all the situations where a" lower" and an" upper" map** are …

From the perspective of three-way decisions, the theory, methodology and applications of
rough setsreinterpreted and systematically investigated. The three regions of rough sets can …