Penyelesaian Sistem Persamaan Linier Fully Fuzzy Menggunakan Metode Dekomposisi Nilai Singular (SVD)

Corry Corazon Marzuki (UIN Sultan Syarif Kasim Riau)
Agustian` Agustian` (UIN Sultan Syarif Kasim Riau)
Dewi Hariati (UIN Sultan Syarif Kasim Riau)
Junitis Afmilda (UIN Sultan Syarif Kasim Riau)
Nurul Husna (UIN Sultan Syarif Kasim Riau)
Putra Nanda (UIN Sultan Syarif Kasim Riau)

Jurnal Matematika: MANTIK
Vol. 4 No. 2 (2018): Mathematics and Applied Mathematics

Linear equation system can be arranged into the AX = B matrix equation. Constants in linear can also contain fuzzy numbers and all their parameters in fuzzy numbers known as fully fuzzy linear equation systems. singular value decomposition (SVD) is a method that decomposes an A matrix into three components of the USVH. The SVD method can be used to find a solution to the fully fuzzy fully linear equation system that is also an inconsistent fully fuzzy linear equation system. The solution obtained from a fully fuzzy linear equation system that is consistent using SVD is a single solution and many solutions. Whereas, the solution obtained from a fully fuzzy linear equation system that is inconsistent using SVD is the best approach solution.