Open AccessSOLVING DUAL FUZZY NONLINEAR EQUATIONS VIA MODIFIED STIRLING’S METHOD
Author(s) -
Abubakar Umar,
Mustafa Mamat,
Mohammed Yusuf Waziri
Publication year - 2019
Publication title -
journal of information system and technology management
Language(s) - English
Resource type - Journals
ISSN - 0128-1666
DOI - 10.35631/jistm.414008
Subject(s) - stirling engine , fuzzy logic , mathematics , nonlinear system , dual (grammatical number) , mathematical optimization , parametric statistics , fuzzy number , fuzzy set , computer science , engineering , artificial intelligence , physics , mechanical engineering , art , statistics , literature , quantum mechanics
Stirling’s method is a root-finding method designed to approximate a locally unique fixed point and cannot be used to solve fuzzy nonlinear equations. In this paper, we present a modified Stirling’s method for solving dual fuzzy nonlinear equations. The fuzzy coefficient is presented in parametric form. Numerical results on some benchmark problems indicate that the proposed method is efficient.