Spam filtering model based on interval type-2 fuzzy set paradigm

This paper discusses a model for detecting spam based on interval type-2 fuzzy sets. The method confirmed that although dynamic models for spam filtering are preferred, by the way they cannot be used solely and must be integrated with other methods. The method is based on surveying the experts in the field and building the relevant interval type-2 fuzzy map of the given text and then comparing the map with the frames of reference. The method enables personalization and specialization of the filter.