Fuzzy logic usage for the data processing in the Internet of Things networks

Abstract

An overloaded Internet of Things (IoT) network needs data processing mechanisms to analyze the state of the system from the input parameters. There is not enough simple and statistical data analysis methods when operating with a large volume of data. The paper deals with the approach to big data analyses that use of fuzzy logic and fuzzy knowledge base for big data processing. The mathematical methods that allow to obtain efficiently the required solution in conditions of high performance requirements are considered. The proposed approach is quite complex on computational costs in training but it allows further to use not complex algorithms for big data processing. This is very important for Internet of Things systems.