A Fuzzy Based Stability Index Using a Right Sigmoid Membership Function

Duprey, Ben; Taheri, Saied

doi:10.4271/2009-01-2871

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…In fuzzy algebra there are many kinds of membership functions but the most characteristic are the triangular, the trapezoidal ones and the family of the sigmoid functions. Sigmoid MF have been used in several research efforts in order to develop fuzzy inference systems [3]. This research effort has been implemented by applying three distinct fuzzy functions that all belong to the sigmoid family.…”

Section: Fuzzy Algebramentioning

confidence: 99%

A Fuzzy Inference System Using Gaussian Distribution Curves for Forest Fire Risk Estimation

Iliadis

Skopianos

Tachos

et al. 2010

IFIP Advances in Information and Communication Technology

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This paper describes the development of a fuzzy inference system under the MATLAB platform. The system uses three distinct Gaussian distribution fuzzy membership functions in order to estimate the partial and the overall risk indices due to wild fires in the southern part of Greece. The behavior of each curve has been investigated in order to determine which one fits better for the specific problem and for the specific areas. Regardless the characteristics of each function, the risky areas have been spotted from 1984 till 2007. The results have shown a reliable performance over time and they encourage its wider use in the near future.

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Section: Fuzzy Algebramentioning

confidence: 99%