Author
Listed:
- Najeeb Alam Khan
(University of Karachi, Pakistan)
- Oyoon Abdul Razzaq
(Bahria University, Karachi, Pakistan)
- Avishek Chakraborty
(Department of Basic Sicence, Narula Institute of Technology, Kolkata, India)
- Sankar Parsad Mondal
(Department of Applied Science, Maulana Abul Kalam Azad University of Technology, West Bengal, India)
- Shariful Alam
(Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, India)
Abstract
In the view of significant exposure of multifarious interval-valued fuzzy numbers in neoteric studies, different measures of interval-valued generalized hexagonal fuzzy numbers (IVGHFN) associated with assorted membership functions (MF) are explored in this article. Considering the symmetricity and asymmetricity of the hexagonal fuzzy structures, the idea of MF is generalized a bit more, to nonlinear membership functions. The construction of level sets, accordingly for each case of linear and nonlinear MF are also carried out. In addition, the concepts of generalized Hukuhara (gH) differentiability for the interval-valued generalized hexagonal fuzzy functions (IVGHFF) are also the main features of this framework. Illustratively, the developed intellects are implemented on a logistic population growth problem, by taking ecological functions as IVGHFFs. For the further numerical demonstrations of the model, artificial neural network with simulated annealing (ANNSA) algorithm is utilized.
Suggested Citation
Najeeb Alam Khan & Oyoon Abdul Razzaq & Avishek Chakraborty & Sankar Parsad Mondal & Shariful Alam, 2020.
"Measures of Linear and Nonlinear Interval-Valued Hexagonal Fuzzy Number,"
International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 9(4), pages 21-60, October.
Handle:
RePEc:igg:jfsa00:v:9:y:2020:i:4:p:21-60
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