Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/111900
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dc.contributor.authorSARI, Merysa Puspita-
dc.contributor.authorPRADJANINGSIH, Agustina-
dc.contributor.authorUBAIDILLAH, Firdaus-
dc.date.accessioned2023-02-03T07:22:35Z-
dc.date.available2023-02-03T07:22:35Z-
dc.date.issued2021-11-
dc.identifier.urihttps://repository.unej.ac.id/xmlui/handle/123456789/111900-
dc.description.abstractA linear equation is an equation in which each term contains a constant with a variable of degree one or single and can be described as a straight line in a Cartesian coordinate system. A Linear equations system is a collection of several linear equations. A system of linear equations whose coefficients and variables are fuzzy numbers is called a fully fuzzy linear equation system. This study aims to apply a metaheuristic algorithm to solve a system of fully fuzzy linear equations. The objective function used is the minimization objective function. At the same time, the metaheuristic algorithms used in this research are Particle Swarm Optimization (PSO), Firefly Algorithm (FA), and Cuckoo Search (CS). The input in this research is a fully fuzzy linear equation system matrix and parameters of the PSO, FA, and CS algorithms. The resulting output is the best objective function and the variable value of the fully fuzzy linear equations system. The work was compared for accuracy with the Gauss-Jordan elimination method from previous studies with the help of the Matlab programming language. The results obtained indicate that the Particle Swarm Optimization (PSO) algorithm is better at solving fully fuzzy linear equation systems than the Firefly Algorithm (FA) and Cuckoo Search (CS). This case can be seen from the value of the resulting objective function close to the value of the Gauss-Jordan elimination method.en_US
dc.language.isoenen_US
dc.publisherInternational Virtual Conference on Operations Researchen_US
dc.subjectMathematicsen_US
dc.subjectinvestationen_US
dc.titleApplication of Metaheuristic Algorithm for Solving Fully Fuzzy Linear Equations Systemen_US
dc.typeArticleen_US
Appears in Collections:LSP-Conference Proceeding



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