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...
Saved in:
Published in: | Journal of interdisciplinary mathematics Vol. 26; no. 6; pp. 1031 - 1042 |
---|---|
Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
2023
|
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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 |