A review on fuzzy differential equations
M Mazandarani, L Xiu - IEEE access, 2021 - ieeexplore.ieee.org
Since the term “Fuzzy differential equations”(FDEs) emerged in the literature in 1978,
prevailing research effort has been dedicated not only to the development of the concepts …
prevailing research effort has been dedicated not only to the development of the concepts …
Melanoma diagnosis using deep learning and fuzzy logic
Melanoma or malignant melanoma is a type of skin cancer that develops when melanocyte
cells, damaged by excessive exposure to harmful UV radiations, start to grow out of control …
cells, damaged by excessive exposure to harmful UV radiations, start to grow out of control …
[HTML][HTML] Analysis and interpretation of Malaria disease model in crisp and fuzzy environment
Malaria is a mosquito-borne infectious disease caused by the Plasmodium parasite. It is
prevalent in many regions of the globe, particularly in sub-Saharan Africa, where it is a major …
prevalent in many regions of the globe, particularly in sub-Saharan Africa, where it is a major …
[PDF][PDF] Type-2 fuzzy differential inclusion for solving type-2 fuzzy differential equation
In this article, we have solved the type-2 fuzzy differential equation. The nonlinear type-2
triangular fuzzy numbers (NT2TFNs) are taken, and their different arithmetic properties are …
triangular fuzzy numbers (NT2TFNs) are taken, and their different arithmetic properties are …
A new approach to evaluate linear programming problem in pentagonal neutrosophic environment
SK Das, A Chakraborty - Complex & intelligent systems, 2021 - Springer
In this paper, authors disclose a new concept of pentagonal neutrosophic (PN) approach to
solve linear programming (LP) problem. To best of our insight, there is no approach for …
solve linear programming (LP) problem. To best of our insight, there is no approach for …
Study of two species prey-predator model in imprecise environment with MSY policy under different harvesting scenario
Parameters involve in various ecological models are mostly uncertain due to ever changing
characteristic of nature. This article, deals with a basic predator–prey model where …
characteristic of nature. This article, deals with a basic predator–prey model where …
Multi-objective optimization for controlling the dynamics of the diabetic population
To limit the adverse effects of diabetes, a personalized and long-term management strategy
that includes appropriate medication, exercise and diet has become of paramount …
that includes appropriate medication, exercise and diet has become of paramount …
Intelligent local search for an optimal control of diabetic population dynamics
EO Abdellatif, EM Karim, B Hicham, C Saliha - Mathematical Models and …, 2022 - Springer
Diabetes is a chronic disease that affects millions of people in the world. This work has two
objectives:(a) elaboration of a state of the art on the different dynamic systems with …
objectives:(a) elaboration of a state of the art on the different dynamic systems with …
Multi-objectives optimization and convolution fuzzy C-means: control of diabetic population dynamic
K El Moutaouakil, A El Ouissari, B Hicham… - RAIRO-Operations …, 2022 - rairo-ro.org
The optimal control models proposed in the literature to control a population of diabetics are
all single-objective which limits the identification of alternatives and potential opportunities …
all single-objective which limits the identification of alternatives and potential opportunities …
[HTML][HTML] Dynamical behavior of HIV infection in fuzzy environment
The fuzziness of the parameters of any mathematical model is a major concern today in the
field of epidemiology. In this article we apply the technique of Hukuhara derivative for …
field of epidemiology. In this article we apply the technique of Hukuhara derivative for …