Analysis of Diabetes Based on Fuzzy Fractals
G. Jayalalitha1, T. Sudha2
1G. Jayalalitha Professor, Department of Mathematics, VELS Institute of Science Technology & Advanced Studies (VISTAS), Chennai (Tamil Nadu), India.
2T. Sudha, Research Scholar, Department of Mathematics, VELS Institute of Science Technology & Advanced Studies (VISTAS) Chennai (Tamil Nadu), India.
Manuscript received on 26 March 2019 | Revised Manuscript received on 05 April 2019 | Manuscript Published on 27 April 2019 | PP: 653-659 | Volume-7 Issue-6S2 April 2019 | Retrieval Number: F10780476S219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main aim of this paper is to predict the Diabetes based on Fuzzy Fractals. It can be analysed for the three types of categories people such as young, middle, and senior. It focuses to assess and analyse the diabetic patients in the blood sugar level variations. Fractal Dimension (FD) is used for determining irregularity of blood sugar level in the glucose concentration. The non-integer values are obtained by Fractal Dimension to indicate the diabetes range. It is also analysed by Fuzzy – Strong Alpha Cut and Support – Set.
Keywords: AMS Classification 2000: 03E72, 28A80 Diabetes, Fuzzy, Fractal, Normalized, Strong Alpha Cut, Support Set.
Scope of the Article: Fuzzy Logics