Stability Analysis of Diabetes Mellitus Model in Neutrosophic Fuzzy Environment

Neutrosophic differential equation (NDE) plays a vital role in mathematical modeling on uncertainty during last few years.It is established that NDE comprises a neutrosophic number whose membership function contains three parts like as truth function, indeterministic and falsity functions.In this paper, a diabetes mellitus model has been formulated in neutrosophic fuzzy environment to get more realistic mathematical model. The initial conditions of diabetes system are considered as trapezoidal neutrosophic fuzzy number. The concept of NDE via nuetrosophic generalised derivative of type-1 and type-2 has used in this article. This is the first article in which the stability analysis of diabetes model in neutrosophic environment is introduced. The existence of strong solution and weak neutrosophic solution of the proposed system are employed in the manuscript. Also, we have exposed the comparison of the suggested model between fuzzy environment and neutrosophic environment.The all results, formulas are confirmed graphically and numerically by MATLAB software.

Authors

Institutions

Publication Details

Journal
Franklin Open
Published
2024-08-23
DOI
https://doi.org/10.1016/j.fraope.2024.100144
Primary Topic
Fuzzy Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stability Analysis of Diabetes Mellitus Model in Neutrosophic Fuzzy Environment

Nikhilesh Sil, Supriya Mukherjee, Sankar Prasad Mondal, Animesh Mahata et al.
Franklin Open
Fuzzy Systems and Optimization
article

Stability Analysis of Diabetes Mellitus Model in Neutrosophic Fuzzy Environment

Nikhilesh Sil, Supriya Mukherjee, Sankar Prasad Mondal, Animesh Mahata, Ashish Acharya, Banamali Roy, Manas Karak
article en

Abstract

Neutrosophic differential equation (NDE) plays a vital role in mathematical modeling on uncertainty during last few years.It is established that NDE comprises a neutrosophic number whose membership function contains three parts like as truth function, indeterministic and falsity functions.In this paper, a diabetes mellitus model has been formulated in neutrosophic fuzzy environment to get more realistic mathematical model. The initial conditions of diabetes system are considered as trapezoidal neutrosophic fuzzy number. The concept of NDE via nuetrosophic generalised derivative of type-1 and type-2 has used in this article. This is the first article in which the stability analysis of diabetes model in neutrosophic environment is introduced. The existence of strong solution and weak neutrosophic solution of the proposed system are employed in the manuscript. Also, we have exposed the comparison of the suggested model between fuzzy environment and neutrosophic environment.The all results, formulas are confirmed graphically and numerically by MATLAB software.

Franklin OpenVol. 8
Ramakrishna Mission Vidyamandira (IN), University B.T. & Evening College (IN), Ramakrishna Mission Vivekananda Educational and Research Institute (IN), Vivekananda Institute of Medical Sciences (IN), National Institute of Pharmaceutical Education and Research (IN), Rabindra Bharati University (IN), Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
Climate action
Openalex Percentile: Top 86%
Fuzzy Systems and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Stability Analysis of Diabetes Mellitus Model in Neutrosophic Fuzzy Environment — Nikhilesh Sil, Supriya Mukherjee, et al. · Franklin Open (2024) | TGRS Research Map | TGRS