Numerical Scheme for Finding Roots of Interval-Valued Fuzzy Nonlinear Equation with Application in Optimization. (6th September 2021)

• Record Type: Journal Article
• Authors: Elmoasry, Ahmed; Shams, Mudassir; Yaqoob, Naveed; Kausar, Nasreen; Gaba, Yaé Ulrich; Rafiq, Naila
• Other Names: Raza Mohsan Academic Editor.
• Is Part Of: Journal of function spaces. Volume 2021(2021)
• Publication Date: 2021-09-06
• Subjects: Function spaces -- Periodicals; 515.7305
• DOI: 10.1155/2021/6369129
• Languages: English
• ISSNs: 2314-8896

Abstract

Abstract : In this research article, we propose efficient numerical iterative methods for estimating roots of interval-valued trapezoidal fuzzy nonlinear equations. Convergence analysis proves that the order of convergence of numerical schemes is 3. Some real-life applications are considered from optimization as numerical test problems which contain interval-valued trapezoidal fuzzy quantities in parametric form. Numerical illustrations are given to show the dominance efficiency of the newly constructed iterative schemes as compared to existing methods in literature.