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 )
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:umkn-dsp01.int.unisa.ac.za:10500/3438 |
| Date | 11 1900 |
| Creators | Rangoaga, Moeti Joseph |
| Contributors | Luhandjula, M.K. |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Dissertation |
| Format | 1 online resource (viii, 78 leaves) |
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