Fuzzy SHmath.Mbio-transform generalization and application to skin cancer imaging (distributed diseases)

Fuzzy integral transformations are an important methodology for solving the relevant fuzzy boundary (initial) value issues that arise from solving fuzzy differential and integral equations. In this study, the way we classify the-for the corresponding-order fuzzy derivative, fuzzy Shmath.mbio.M-trans...

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Bibliographic Details
Published in:Journal of interdisciplinary mathematics Vol. 26; no. 6; pp. 1031 - 1042
Main Authors: Kadham, Shaymaa Maki, Mustafa, Mohammed Ahmed
Format: Journal Article
Language:English
Published: 2023
Online Access:Get full text
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Summary:Fuzzy integral transformations are an important methodology for solving the relevant fuzzy boundary (initial) value issues that arise from solving fuzzy differential and integral equations. In this study, the way we classify the-for the corresponding-order fuzzy derivative, fuzzy Shmath.mbio.M-transform. Studies of this process are conducted on the assumption of substantial generalized Hukuhara differentiability. When comparing the suggested transform to another transform, the fuzzy Laplace transform, the effectiveness of the proposed transform in extracting melanoma edges was shown to be much higher. The accuracy and efficiency of the proposed transformation may be enhanced even more. statistical parameters were used to corroborate the findings.
ISSN:0972-0502
2169-012X
DOI:10.47974/JIM-1603