The treatment of uncertainty in multicriteria decision making

The nature of human decision making dictates that a decision must often be considered under conditions of uncertainty. Decisions may be influenced by uncertain future events, doubts regarding the precision of inputs, doubts as to what the decision maker considers important, and many other forms of uncertainty. The multicriteria decision models that are designed to facilitate and aid decision making must therefore consider these uncertainties if they are to be effective. In this thesis, we consider the treatment of uncertainty in multicriteria decision making (MCDM), with a specific view to investigating the types of uncertainty that are most relevant to MCDM, [and] how the uncertainties identified as relevant may be treated by various different MCDM methodologies.

Grantor dc:publisher.institution

Department of Statistical Sciences

Year dc:date.issued

2003

Author dc:creator

• Durbach, Ian N

Advisor dc:contributor.advisor

• Stewart, Theodor J

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/15424

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/15424