Fuzzy Sets and Systems

Mining association rules are a major area of research in data mining, as there are typically a large number of rules in each data set. And extracting necessary rules from each data set requires efficiency and careful consideration. In this paper, ...

The commutative, associative and monotone (CAM) functions on a horizontal sum of bounded chains are studied. Depending on their range, these functions are divided into two main classes and properties of CAM functions from each of these classes ...

This work focuses on the resilient fixed-time synchronization of delayed fuzzy memristive reaction-diffusion neural networks under denial-of-service (DoS) attacks. To efficaciously tolerate the aperiodic DoS attacks, a new appropriate controller ...

For a small involutive quantaloid Q, it is shown that the category of separated complete Q-categories and left adjoint Q-functors is strictly monadic over the category of symmetric Q-categories. In particular, the (covariant) powerset monad on ...

The computation of (if-then) rules relating the most representative variables of a given dataset is a relevant goal in different areas of data analysis such as stock market prediction, disease diagnosis and census data analysis, among others. In ...

By introducing a novel expression for the Hausdorff and packing measures with respect to gauge functions, we establish a connection between different approaches to defining the exact Hausdorff and packing dimensions of measures. Furthermore, we ...