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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my.utm.589112017-01-30T01:01:40Z http://eprints.utm.my/id/eprint/58911/ The determination of hesitation value for sugeno type intuitionistic fuzzy generator via fuzzy limit Zenian, S. Ahmad, T. Idris, A. TA Engineering (General). Civil engineering (General) 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. Academic Press 2015 Article PeerReviewed Zenian, S. and Ahmad, T. and Idris, A. (2015) The determination of hesitation value for sugeno type intuitionistic fuzzy generator via fuzzy limit. Intertiol Jourl Of Pure And Applied Mathematics, 104 (2). pp. 249-264. ISSN 1311-8080 http://dx.doi.org/10.12732/ijpam.v104i2.9 10.12732/ijpam.v104i2.9 |
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TA Engineering (General). Civil engineering (General) Zenian, S. Ahmad, T. Idris, A. The determination of hesitation value for sugeno type intuitionistic fuzzy generator via fuzzy limit |
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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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Zenian, S. Ahmad, T. Idris, A. |
author_facet |
Zenian, S. Ahmad, T. Idris, A. |
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Zenian, S. |
title |
The determination of hesitation value for sugeno type intuitionistic fuzzy generator via fuzzy limit |
title_short |
The determination of hesitation value for sugeno type intuitionistic fuzzy generator via fuzzy limit |
title_full |
The determination of hesitation value for sugeno type intuitionistic fuzzy generator via fuzzy limit |
title_fullStr |
The determination of hesitation value for sugeno type intuitionistic fuzzy generator via fuzzy limit |
title_full_unstemmed |
The determination of hesitation value for sugeno type intuitionistic fuzzy generator via fuzzy limit |
title_sort |
determination of hesitation value for sugeno type intuitionistic fuzzy generator via fuzzy limit |
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Academic Press |
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2015 |
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http://eprints.utm.my/id/eprint/58911/ http://dx.doi.org/10.12732/ijpam.v104i2.9 |
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13.160551 |