Modified Barzilai-Borwein (MBB) gradient method for solving fuzzy nonlinear equations
Research has demonstrated that conventional analytical techniques such as the SD, BB, CG, and N approaches are insufficient to solve a collection of fuzzy non-linear equations that involve fuzzy number coefficients[1]. Because of this, the two-step extended gradient method is suggested as an alternative way to resolve these kinds of unclear nonlinear equations. This work uses a six-step technique to solve ambiguous nonlinear equations[7]. This method does not require the Jacobi method and only requires finding a line for t = 0. In order to provide clarification and enhance understanding, two well-known numerical examples are provided to demonstrate the suggested concept, along with their practical results implemented in MATLAB in tables and curves.
Authors
- Marwan S. Jameel
- Fanar N. Jardow
Publication Details
- Journal
- Journal of Information and Optimization Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.47974/jios-1805
- Primary Topic
- Metaheuristic Optimization Algorithms Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00