Title :
Group decision support and multiple criteria optimization
Author_Institution :
Dept. of Inf. & Quantitative Sci., Baltimore Univ., MD, USA
Abstract :
The paper proposes a structured group decision aid based on multiple criteria optimization. The procedure is designed to solve optimization problems which involve conflicting objectives and multiple decision-makers with different priorities. Most of the empirical findings regarding the performance of multi criteria techniques involve a single decision-maker. The focus in these algorithms is on determining a compromise solution to a multicriteria problem which best coincides with the preference structure of a decision-maker. The approach taken is to imbed the task of finding a compromise solution in a more general and flexible framework. The underlying concept in this framework is the analytic hierarchy process and the Tchebycheff algorithm is used to solve the multiple criteria problem. The objectives and the alternative solutions to the multiple criteria problem are evaluated through the analytic hierarchy process
Keywords :
decision support systems; groupware; management science; optimisation; Chebychev algorithm; Tchebycheff algorithm; analytic hierarchy process; compromise solution; conflicting objectives; multiple criteria optimization; multiple decision-makers; preference structure; structured group decision aid; Aggregates; Algorithm design and analysis; Application software; Decision making; Delta modulation; Design optimization; Linear programming; Mathematical programming; Spine; Testing;
Conference_Titel :
System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on
Conference_Location :
Kauai, HI
DOI :
10.1109/HICSS.1991.184201