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 to get to the higher precision.
Email Granulation Based On Distributed-Interval Type-2 Fuzzy Set Methodologies / H. Tahayori, A. Visconti, G. Degli Antoni - In: Proceedings, 2007 IEEE International Conference on Granular Computing GrC 2007 : San Jose, California, 2-4 November, 2007 / [a cura di] IEEE Computational Intelligence Society (CIS), Tsau Young Lin ... [et al.]. - Piscataway, New Jersey : IEEE Computer Society, 2007. - ISBN 0-7695-3032-X. - pp. 139-144 (( convegno IEEE International Conference on Granular Computing, GrC07 tenutosi a San Jose, California nel 2007.
Email Granulation Based On Distributed-Interval Type-2 Fuzzy Set Methodologies
H. TahayoriPrimo
;A. ViscontiSecondo
;G. Degli AntoniUltimo
2007
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 to get to the higher precision.
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