Abstract:This paper proposes a dynamic model to classify incoming emails into five granules namely, spam, suspicious-spam, suspicious, suspicious-non-spam and non-spam, using distributed-interval type-2 fuzzy set methodologies. Toward this end we have used the concept of general intervals and applied the distributed intervals in interval type-2 fuzzy sets. The method confirmed that, the process of spam filtering is rather intellectual than statistical and moreover some different methods should be used complementarily t… Show more
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