Based on results from cognitive science, this paper examines the two fields of three-way
decision and granular computing, as well as their interplay. The ideas from one field shed …

The underlying philosophy of three-way decision is thinking in threes, namely,
understanding and processing a whole through three distinct and related parts. One can …

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 …

Recommender systems attempt to guide users in decisions related to choosing items based
on inferences about their personal opinions. Most existing systems implicitly assume the …

Area of computational intelligence is gaining researcher's attention in ongoing trend of
technology and evolution due to their high capability to deliver near-optimal solutions. A new …

The determination of both thresholds in decision-theoretic rough sets is an important
problem of study that has aroused widespread attention in recent years. Although many …

Recommender systems (RSs) are effective technologies and tools used to deal with the
problems of information overload, and have been developed rapidly in nearly two decades …

Recommender systems employ recommendation algorithms to predict users' preferences to
items. These preferences are often represented as numerical ratings. However, existing …

Promoting recommender systems in real-world applications requires deep investigations
with emphasis on their next generation. This survey offers a comprehensive and systematic …

In the classical three-way decision (3WD) model with decision-theoretic rough sets (DTRSs),
the classification correct rate (CCR) is an important issue. As one of the risk measurement …