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 - http://www.journal-aprie.com/article_102443.html
L1 - http://www.journal-aprie.com/article_102443_3bbc738df84bff8d262ae807e915a5de.pdf
ER -