Title :
An analysis of solutions for fuzzy multi-objective linear programming problem
Author :
Zuo, Hua ; Zhang, Guo-Li
Author_Institution :
Dept. of Math. & Phys., North China Electr. Power Univ., Baoding, China
Abstract :
We extend the concepts of α-Q-Effective solution and α-Effective solution to the model of multi-objective linear programming problem with fuzzy coefficient constraints. The levels of α-Q-Effective solution and α-Effective solution are uniquely determined, which fully describe the degree of solution satisfying constraints. α-Effective solution has the highest degree of constraint satisfaction among the α-Q-Effective solutions of achieving the same goal. A numerical example is given to illustrate the difference between Q-Effective solution and Effective solution in the multi-objective linear programming problem with fuzzy coefficient constraints.
Keywords :
constraint satisfaction problems; fuzzy set theory; linear programming; α-Q-effective solution; constraint satisfaction; degree of solution; fuzzy coefficient constraint; fuzzy multiobjective linear programming; Abstracts; Programming; α -Effective solution; α -Q-Effective solution; Fuzzy coefficient; Linear programming; Multi-objective;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1484-8
DOI :
10.1109/ICMLC.2012.6358923