Fuzzy-assignment Model by Using Linguistic Variables

Main Article Content

zainb Hassan radhy
Firas Hussean Maghool
Nagham Kamal

Abstract

      This work addressed the assignment problem (AP) based on fuzzy costs, where the objective, in this study, is to minimize the cost. A triangular, or trapezoidal, fuzzy numbers were assigned for each fuzzy cost. In addition, the assignment models were applied on linguistic variables which were initially converted to quantitative fuzzy data by using the Yager’sorankingi method. The paper results have showed that the quantitative date have a considerable effect when considered in fuzzy-mathematic models.

Downloads

Download data is not yet available.

Article Details

How to Cite
1.
radhy zainb H, Maghool FH, Kamal N. Fuzzy-assignment Model by Using Linguistic Variables. Baghdad Sci.J [Internet]. [cited 2021Jun.16];18(3):0539. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3847
Section
article

References

Nirmala G, Anju R. Cost minimization assignment problem using fuzzy quantifier. IJCSIT. 2014;5(6):7948-50.

Liou TS, Wang MJ. Ranking fuzzy numbers with integral value. Fuzzy Sets Syst. 1992 Sep 25;50(3):247-55.

Lotfi A. Z. The concept of a linguistic variable and its application to approximate reasoning—I. nf. Sci .1975;8(3):199- 249.

Chen LH, Lu HW. An approximate approach for ranking fuzzy numbers based on left and right dominance. Comput. Math. with Appl. 2001 Jun 1;41(12):1589-602.

Yager RR. A procedure for ordering fuzzy subsets of the unit interval. nf. Sci. 1981 Jul 1;24(2):143-61.

Chen MS. On a fuzzy assignment problem. Tamkang J. Manag. Sci.. 1985; 22: 407-411.