TY - JOUR
JF - IUST
JO - IJIEPR
VL - 31
IS - 2
PY - 2020
Y1 - 2020/6/01
TI - An approach for optimization of multi- objective assignment problems with neutrosophic numbers
TT -
N2 - This paper aims to study multi- objective assignment (NMOAS) problem with imprecise costs instead of its prices information. The NMOAS problem is considered by incorporating single valued trapezoidal neutrosophic numbers in the elements of cost matrices. After converting the NMOAS problem into the corresponding crisp multiobjective assignment (MOAS) problem based on the score function, an approach to find the most preferred neutrosophic solution is discussed. The approach is used through a weighting Tchebycheff problem which is applied by defining relative weights and ideal targets. The advantage of this approach is more flexible than the standard multi- objective assignment problem, where it allows the decision maker (DM) to choose the targets he is willing. Finally, a numerical example is given to illustrate the utility, effectiveness and applicability of the approach.
SP - 287
EP - 294
AU - Khalifa, Hamiden
AD - Cairo University
KW - Multi-objective assignment problem
KW - Neutrosophic numbers
KW - Membership functions
KW - Weighting Tchebycheff problem
KW - Optimal compromise neutrosophic solution
UR - http://ijiepr.iust.ac.ir/article-1-890-en.html
DO - 10.22068/ijiepr.31.2.287
ER -