[HTML][HTML] An overview of recent distributed algorithms for learning fuzzy models in Big Data classification
Nowadays, a huge amount of data are generated, often in very short time intervals and in
various formats, by a number of different heterogeneous sources such as social networks …
various formats, by a number of different heterogeneous sources such as social networks …
Complexity issues in data-driven fuzzy inference systems: systematic literature review
J Miliauskaitė, D Kalibatiene - … , DB&IS 2020, Tallinn, Estonia, June 16–19 …, 2020 - Springer
The development of a data-driven fuzzy inference system (FIS) involves the automatic
generation of membership functions and fuzzy if-then rules and choosing a particular …
generation of membership functions and fuzzy if-then rules and choosing a particular …
[PDF][PDF] Complexity in data-driven fuzzy inference systems: survey, classification and perspective
J Miliauskaitė, D Kalibatiene - Baltic Journal of Modern Computing, 2020 - bjmc.lu.lv
Nowadays, data-driven fuzzy inference systems (FIS) have become popular to solve
different vague, imprecise, and uncertain problems in various application domains …
different vague, imprecise, and uncertain problems in various application domains …
[PDF][PDF] Method of construction of fuzzy tree of solutions for network protection against DoS-attacks.
Abstract An Intrusion Detection System is a tool that can detect intrusions into a host,
network, and application. DoS attack is one of the most common network attacks. During this …
network, and application. DoS attack is one of the most common network attacks. During this …