Title: Decision-maker's preferences modelling within the interactive imprecise goal programming model
Authors: Aida Kharrat, Habib Chabchoub, Belaid Aouni
Addresses: Unite de recherche: Logistique Gestion Industrielle et de la Qualite, Institut Superieur de Gestion Industrielle de Sfax, B.P. 1164, Sfax 3018, Tunisia. ' Unite de recherche: Logistique Gestion Industrielle et de la Qualite, Institut Superieur de Gestion Industrielle de Sfax, B.P. 1164, Sfax 3018, Tunisia. ' Aid Research Group, School of Commerce and Administration, Faculty of Management, Laurentian University, Sudbury (Ontario) P3E 2C6, Canada
Abstract: This paper proposes an interactive optimisation method for imprecise multiple-objective decision-making situations. The aim of the proposed approach is to integrate explicitly the decision-maker|s (DMs) preferences within the interactive imprecise goal programming model. The DMs preferences will be expressed through the satisfaction functions concept. The new interactive imprecise goal programming approach is solved by the taboo central memory-simulated annealing algorithm. The use of this meta-heuristic allows the proposed approach to deal with large scale decision-making situations. The proposed approach will be illustrated through some examples.
Keywords: interactive optimisation; imprecise goal programming; decision-maker preferences; taboo central memory; TCM; simulated annealing; preference modelling; decision making; metaheuristics.
International Journal of Innovative Computing and Applications, 2010 Vol.2 No.3, pp.150 - 169
Published online: 13 Jun 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article