Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Mahata, Animesha; b | Mondal, Sankar Prasadc; * | Alam, Sharifulb | Chakraborty, Avishekd | De, Sujit Kumare | Goswami, Adrijitf
Affiliations: [a] Department of Mathematics, Netaji Subhash Engineering College, Techno City, Garia, Kolkata, West Bengal, India | [b] Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, West Bengal, India | [c] Department of Natural Science, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata, Nadia, West Bengal, India | [d] Department of Basic Sicence, Narula Institute of Technology, West Bengal, India | [e] Department of Mathematics, Midnapore College (Autonomous), West Midnapore, West Bengal, India | [f] Department of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur India
Correspondence: [*] Corresponding author. Sankar Prasad Mondal, Department of Natural Science, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata, Nadia, West Bengal, India. E-mail: sankar.res07@gmail.com.
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.
DOI: 10.3233/JIFS-171571
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2923-2932, 2019
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl