… In order to extend the PRS model to more generalized issues such as classification
problem, we adopt the following four evaluation metrics to evaluate the performance of …

… three-way decisions, the three-way decision rough set model … The three-way decision rough
set model is derived from the … Since three-way decisions with decision-theoretic rough sets …

… In this paper, we proposed a three-way decision based hierarchical classification model (TriHC)
to alleviate the blocking problem. The TriHC model learns category relations to rebuild …

… three-way decision (S3WD) model, which merges three-way decisions and granular computing,
is increasingly crucial in classification… actions in the S3WD model. Furthermore, decision …

… is to propose a three-way classification mechanism through … to be applied to the classification
results. The developed mechanism … tree models, and the main idea of three-way decisions. …

… on three-way decision models. First of all, for two types of fuzzy concepts with opposite
characteristics, we establish the corresponding three-way decision models… , the classification and …

… on classification models based on the theory of three-way decisions. An analysis of probabilistic
two-way classifications … In contrast, the probabilistic three-way classifications can obtain …

… a three-way decision model for dealing with the uncertain boundary to improve the binary text
classification … in the whole classification process: ‘two-way to three-way’ and ‘three-way to …

… of three-way decisions, we proposed a three-way enhanced convolutional neural network
model … Afterwards, we use another classification model to reclassify the instances in boundary …

… hierarchical multi-granulation sequential three-way decision model. More specifically, we
firstly … three-way decision models by combining multi-granularity and sequential three-way …