TY - JOUR
ID - 4057
TI - A Fuzzy Random Minimum Cost Network Flow Programming Problem
JO - Journal of Industrial and Systems Engineering
JA - JISE
LA - en
SN - 1735-8272
AU - Nematian, Javad
AU - Eshghi, Kourosh
AD - Department of Industrial Engineering, University of Tabriz, Iran
AD - Department of Systems Engineering, Sharif University of Technology, Tehran, Iran
Y1 - 2012
PY - 2012
VL - 6
IS - 1
SP - 34
EP - 47
KW - network flow programming
KW - fuzzy random variable
KW - Er-expected value
KW - chanceconstrained
programming
DO -
N2 - In this paper, a fuzzy random minimum cost flow problem is presented. In this problem, cost parameters and decision variables are fuzzy random variables and fuzzy numbers respectively. The object of the problem is to find optimal flows of a capacitated network. Then, two algorithms are developed to solve the problem based on Er-expected value of fuzzy random variables and chance-constrained programming. Furthermore, the results of two algorithms will be compared. An illustrative example is also provided to clarify the concept.
UR - http://www.jise.ir/article_4057.html
L1 - http://www.jise.ir/article_4057_ea9d514e9bf31829c10b874267b35c8b.pdf
ER -