Granular computing is gradually changing from a label to a new field of study. The driving
forces, the major schools of thought, and the future research directions on granular …

Granular computing studies a novel approach to computing system modeling and
information processing. Although a rich set of work has advanced the understanding of …

When using granular computing for problem solving, one can focus on a specific level of
understanding without looking at unwanted details of subsequent (more precise) levels. We …

Under the context of large-scale scientific literatures, this paper provides a user-centric
approach for refining and processing incomplete or vague query based on cognitive-and …

Considering the time constraints and Web scale data, it is impossible to achieve absolutely
complete reasoning results. Plus, the same results may not meet the diversity of user needs …

The main components of Zadeh's scientific contribution are shown. In particular, his
information granulation theory is considered in the context of sensor data mining. The …

Bayesian inference and rough set theory provide two approaches to data analysis. There
are close connections between the two theories as they both use probabilities to express …

Abstract Decision-Theoretic Rough Set (DTRS) model provides a three-way decision
approach to classification problems, which allows a classifier to make a deferment decision …

This paper presents a bibliography of more than 200 references related to human problem
solving, arranged by subject matter. The references were taken from PsycInfo database …

Existing prediction model can not be established accurately as a result of there is often a lot
of redundant information in observed values of alumina concentration. A prediction method …