The concept of three-way decision, interpreted and described as thinking, problem solving,
and information processing in “threes”, has been widely studied and applied in machine …

This paper introduces a model of three-way conflict analysis by reformulating and extending
the original model by Pawlak. The proposed model is based on the philosophy …

Three-way decision provides a new perspective for dealing with uncertainty and complexity
in decision-making problems. However, behaviors of decision-makers may be influenced by …

Due to the effectiveness and advantages of interval-valued intuitionistic fuzzy sets (IVIFSs) in
evaluating uncertainty and risk, we introduce IVIFSs into loss functions of decision-theoretic …

In three-way decision, how to reflect the risk attitude in determining decision rules is an
important issue. In the classical three-way decision model, loss functions are used to …

This study is concerned with the design of a three-way classification mechanism realized
through combing fuzzy decision trees and expressing uncertainty associated with …

In dynamic and open environments, the traditional static sentiment analysis or opinion
mining model is unsuitable for continuous computation and classification of human opinions …

The preferences of decision makers (DMs) over conflicting states have a significant impact
on the stability of the conflict system. However, the DM's preferences over conflicting states …

The theory of three-way decision provides an effective tool for decision-making under
uncertainty and incomplete information, when a two-way decision is difficult to make. Soft …

Autoencoder network is an efficient representation learning method. In general, a finer
feature set obtained from autoencoder leads to a lower error rate and lower total …