Equivalence between Gaussian-Like and Mamdani Fuzzy Methods in the Multi-objective Design of Electronic Circuits

Romagnoli, P.A.M.; Romero, Norberto Hernández; Mora, Juan

doi:10.1109/cerma.2008.26

Cited by 1 publication

(1 citation statement)

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“…Chi in [9] used combined triangular MF from SOM prototypes without involving a correlated features transformation. In the research [10] authors stated and proved that despite the faster approximation by common triangular MF in Mamdami-type inference system, the Gaussian-like methods show good fit and more stable results. In the work by Wang in 1992 [11] the Gaussian MF function was used to show how the Gaussian-like regions can be used to approximate the real-valued continuous function with help of Stone-Weierstrass theorem.…”

Section: Introductionmentioning

confidence: 99%

A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection

Shalaginov¹,

Franke²

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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Soft Computing is being widely used in Information Security applications. Particularly, Neuro-Fuzzy approach provides a classification with humanunderstandable rules, yet the accuracy may not be sufficiently high. In this paper we seek for an optimal fuzzy patch configuration that uses elliptic fuzzy patches to automatically extract parameters for the Mamdami-type rules. We proposed a new method based on χ 2 test of data to estimate rotatable patch configuration together with Gaussian membership function. This method has been tested on the automated malware analysis with accuracy up to 92%. Further on, it can find an application in Digital Forensics.

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Section: Introductionmentioning

confidence: 99%