AU - Khalifa, Hamiden
TI - An approach for optimization of multi- objective assignment problems with neutrosophic numbers
PT - JOURNAL ARTICLE
TA - IUST
JN - IUST
VO - 31
VI - 2
IP - 2
4099 - http://ijiepr.iust.ac.ir/article-1-890-en.html
4100 - http://ijiepr.iust.ac.ir/article-1-890-en.pdf
SO - IUST 2
ABĀ - 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.
CP - IRAN
IN - ISSR- Cairo University
LG - eng
PB - IUST
PG - 287
PT - Research
YR - 2020