The determination of hesitation value for sugeno type intuitionistic fuzzy generator via fuzzy limit
In intuitionistic fuzzy set (IFS) theory, the membership and non- membership values are needed to model the uncertainties. One of the ways to compute the non-membership is by implementing the Sugeno type intuitionistic fuzzy generator. In this paper, fuzzy limit will be used to determine the value o...
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Main Authors: | , , |
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Format: | Article |
Published: |
Academic Press
2015
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/58911/ http://dx.doi.org/10.12732/ijpam.v104i2.9 |
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Summary: | In intuitionistic fuzzy set (IFS) theory, the membership and non- membership values are needed to model the uncertainties. One of the ways to compute the non-membership is by implementing the Sugeno type intuitionistic fuzzy generator. In this paper, fuzzy limit will be used to determine the value of parameter, namely in the non-membership function. Different values of ? will directly control the level of hesitation, namely p, in the output image. Hence, the output images of Flat EEG (fEEG) during epileptic seizures are enhanced by using the window based enhancement scheme. |
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