TY - JOUR ID - 102443 TI - A nonlinear approach for neutrosophic linear programming JO - Journal of Applied Research on Industrial Engineering JA - JARIE LA - en SN - 2538-5100 AU - Edalatpanah, Seyed Ahmad AD - Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran. Y1 - 2019 PY - 2019 VL - 6 IS - 4 SP - 367 EP - 373 KW - Single valued neutrosophic number KW - Neutrosophic linear programming problem KW - Linear programming problem DO - 10.22105/jarie.2020.217904.1137 N2 - Traditional linearl programming usually handles optimization problems involving deterministic objective functions and/or constrained functions. However, uncertainty also exists in real problems. Hence, many researchers have proposed uncertain optimization methods, such as approaches using fuzzy and stochastic logics, interval numbers, or uncertain variables. However, In practical situations, we often have to handle programming problems involving indeterminate information. The aim of this paper is to put forward two new algorithms, for solving the Single-Valued Neutrosophic linear Problem. A numerical experiments are reported to verify the effectiveness of the new algorithms. UR - https://www.journal-aprie.com/article_102443.html L1 - https://www.journal-aprie.com/article_102443_3bbc738df84bff8d262ae807e915a5de.pdf ER -