Name
Abstract | ||
|---|---|---|
In this paper we study the mathematical model for diabetes in fuzzy environment. For real situation we notice that some data cannot be precisely known. For that reason we have to take the parameters as imprecise parameter. In this paper we take fuzzy number as the imprecise parameter. The diabetes model is formed by the concept of system of linear differential equation whose initial condition are fuzzy number. The solution procedure for solving governing fuzzy differential equations i.e., the fuzzy model is taken as generalized Hukuhara derivative approach. To show the biological importance the stability analysis of the model is done in fuzzy environment. The numerical results found and are illustrated through computer simulation which is followed by discussions and conclusions in an elegant way. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3233/JIFS-171571 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Field | DocType | Volume |
Fuzzy logic,Artificial intelligence,Mathematics,Machine learning | Journal | 36 |
Issue | ISSN | Citations |
3 | 1064-1246 | 0 |
PageRank | References | Authors |
0.34 | 6 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Animesh Mahata | 1 | 0 | 0.34 |
| Sankar Prasad Mondal | 2 | 12 | 6.24 |
| Shariful Alam | 3 | 8 | 4.84 |
| Avishek Chakraborty | 4 | 0 | 0.34 |
| Sujit Kumar De | 5 | 43 | 8.01 |
| Adrijit Goswami | 6 | 532 | 23.78 |