Network intrusion is a growing threat with potentially severe impacts, which can be
damaging in multiple ways to network infrastructures and digital/intellectual assets in the …

Fuzzy inference systems provide a simple yet effective solution to complex non-linear
problems, which have been applied to numerous real-world applications with great success …

Network intrusion detection systems identify malicious connections and thus help protect
networks from attacks. Various data-driven approaches have been used in the development …

The Quality of Services (QoS) is the measure of data transmission quality and service
availability of a network, aiming to maintain the data, especially delay-sensitive data such as …

Fuzzy inference systems have been successfully applied to many real-world applications.
Traditional fuzzy inference systems are only applicable to problems with dense rule bases …

After the fuzzy interpolative reasoning processes, if two unequal fuzzy interpolative
reasoning results are derived (or one derived and another observed) for a consequence …

In this paper, we propose an adaptive weighted fuzzy interpolative reasoning (AWFIR)
method based on representative values (RVs) and similarity measures of interval type-2 …

Dendritic cell algorithm (DCA) is a binary classification system developed by abstracting the
biological danger theory and the functioning of human dendritic cells. The DCA takes three …

Type-2 fuzzy sets and systems can better handle uncertainties compared to its type-1
counterpart, and the widely applied Mamdani and TSK fuzzy inference approaches have …

Fuzzy modelling has been widely and successfully applied to control problems. Traditional
fuzzy modelling requires either complete experts' knowledge or large data sets to generate …