A Hybrid Model Combining Bipolar Fuzzy Sets and Rough Sets in Semirings with Applications in Anomaly Detection
DOI:
https://doi.org/10.65419/albahit.v5i2.143Keywords:
Bipolar fuzzy set, Rough set, Hybrid model, Semiring, Anomaly detectionAbstract
This research presents a hybrid mathematical model that combines two modern theories for handling uncertainty: Bipolar Fuzzy Sets and Rough Sets, within the algebraic framework of Semirings. The proposed model is capable of representing both positive and negative information simultaneously while also handling imprecision caused by incomplete information. The model is applied to anomaly detection in databases. Experimental results on a standard dataset show that the proposed hybrid model outperforms traditional methods in detection accuracy.
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