DocumentCode :
2547116
Title :
Stability analysis of multiple objective linear programming models to the introduction of new decision variables
Author :
Borges, Ana Rosa ; Antunes, Carlos Henggeler
Author_Institution :
Coimbra Polytech. Inst., Coimbra
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
559
Lastpage :
564
Abstract :
Interactive techniques encourage the decision maker to exploit both the problem and its preference structure in mathematical programming models in which multiple objective functions are explicitly considered. In this context a key issue is the assessment of solution stability regarding model changes. In this paper we propose an interactive approach aimed at assessing the stability of efficient solutions to multiple objective linear programming problems with respect to the expansion of the decision space through the introduction of new decision variables.
Keywords :
decision support systems; interactive systems; linear programming; stability; interactive techniques; mathematical programming models; multiple objective linear programming models; new decision variables; stability analysis; Context modeling; Delta modulation; Functional programming; Linear programming; Mathematical model; Mathematical programming; Research and development; Sensitivity analysis; Stability analysis; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4414033
Filename :
4414033
Link To Document :
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