A decision support system for multi-objective programming problems

• Main Author: Rangoaga, Moeti Joseph
• Other Authors: Luhandjula, M.K.
• Format: Others
• Language: en
• Published: 2010
• Subjects: Achievement function; Decision maker; Decision support system; Modelbase; Multi-objective program; Pareto optimality; Slater constraint qualification; 658.403; Decision support systems; Automation; Artificial intelligence; Computational intelligence
• Online Access: Rangoaga, Moeti Joseph (2009) A decision support system for multi-objective programming problems, University of South Africa, Pretoria, <http://hdl.handle.net/10500/3438>; http://hdl.handle.net/10500/3438

Many concrete problems may be cast in a multi-objective optimisation framework. The redundancy of existing methods for solving multi-objective programming problems susceptible to inconsistencies, coupled with the necessity for making in- herent assumptions before using a given method, make it hard for a nonspecialist to choose a method that ¯ts the situation at hand well. Moreover, using a method blindly, as suggested by the hammer principle (when you only have a hammer, you want everything in your hand to be a nail) is an awkward approach at best and a caricatural one at worst. This brings challenges to the design, development, implementation and deployment of a Decision Support System able to choose a method that is appropriate for a given problem and to apply the chosen method to solve the problem under consideration. The choice of method should be made according to the structure of the problem and the decision maker's opinion. The aim here is to embed a sample of methods representing the main multi-objective programming techniques and to help the decision maker find the most appropriate method for his problem. === Decisions Sciences === M. Sc. (Operations Research )