Decision-maker's preferences modelling within the interactive imprecise goal programming model

  • Authors:
  • Aida Kharrat;Habib Chabchoub;Belaid Aouni

  • Affiliations:
  • 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

  • Venue:
  • International Journal of Innovative Computing and Applications
  • Year:
  • 2010

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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.