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Interval-valued fuzzy soft $β$-covering approximation spaces
The concept of interval-valued fuzzy soft $\beta$-covering approximation spaces (IFS$\beta$CASs) is introduced to combine the theories of soft sets, rough sets and interval-valued fuzzy sets, and some fundamental propositions concerning interval-valued fuzzy soft $\beta$-neighborhoods and soft $\beta$-neighborhoods of IFS$\beta$CASs are explored.
Foundational propositions of hesitant fuzzy soft $β$-covering approximation spaces
Soft set theory serves as a mathematical framework for handling uncertain information, and hesitant fuzzy sets find extensive application in scenarios involving uncertainty and hesitation.
Foundational theories of hesitant fuzzy sets and hesitant fuzzy information systems and their applications for multi-strength intelligent classifiers
Some foundational propositions of hesitant fuzzy information systems are proposed with respect to parameter reductions and an example and an algorithm are given to illustrate the processes of parameter reduction.
A self-adaptive and robust fission clustering algorithm via heat diffusion and maximal turning angle
The RFC and the self-adaptive noise identification method are combine to propose a self-adaptive robust fission clustering (SARFC) algorithm.
Self-adaption grey DBSCAN clustering
Clustering analysis, a classical issue in data mining, is widely used in various research areas.
Clustering by the way of atomic fission
Cluster analysis which focuses on the grouping and categorization of similar elements is widely used in various fields of research.
