Selection of multicriteria decision making methodologies in scenario based planning

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dc.contributor.advisorStewart, Theodor Jen_ZA
dc.contributor.authorHeynes, Wynford Gustaven_ZA
dc.date.accessioned2015-11-08T04:59:39Z
dc.date.available2015-11-08T04:59:39Z
dc.date.issued1995en_ZA
dc.descriptionBibliography: leaves 131-136.en_ZA
dc.description.abstractThis dissertation investigates the application of Multicriteria Decision Making (MCDM) methodologies to the area of scenario based policy planning. We examine how the tools of MCDM can be used to develop a Decision Support System (DSS) that would allow management or policy planners to resolve conflicting goals and interests. Ideally, the resolution would be obtained by the various decision makers (DMs) in such a manner, that it satisfies all the relevant interest groupings at a maximum level of achievement for all concerned. This is not always possible and compromises need to be made that are fair and equitable to all the relevant interests. Stewart et al. (1993), in a report entitled: "Scenario Based Multicriteria Policy Planning for Water Management in South Africa", develop the principles of a procedure for implementing scenario based multicriteria policy planning. Their iterative procedure is illustrated in figure 2.1, chapter 2, of this paper. In this dissertation, we refine certain parts of this procedure and the two areas in particular that we have looked at are: (1) filtering a large set of policy scenarios (Background Set), that could be a continuum, to form a smaller set (Foreground Set), and (2) further reducing the smaller set to form a solution set of policy scenarios. (The generic terms "Background Set" and "Foreground Set" are defined in section 2.1 of chapter 2.) The main objectives of this study were therefore mainly twofold and are as follows: (1) to determine what MCDM methods are relevant to natural resources management (using water as a case study), and (2) to investigate how these methods need to be adopted for use in an interactive DSS. We address the first objective by surveying the literature in an attempt to identify potential MCDM approaches that are suitable to (i) reduce a large set of alternatives, analogous to the Background Set, to a more manageable smaller set, analogous to the Foreground Set of alternatives, and (ii) refine this Foreground Set in order to present the DMs with a solution set of alternatives from which University of Cape Town they will make their final selection. The literature has until now not dealt explicitly with these two issues and we had to adapt certain MCDM approaches, many of which have been developed in a linear programming context, to suit our purposes.en_ZA
dc.identifier.apacitationHeynes, W. G. (1995). <i>Selection of multicriteria decision making methodologies in scenario based planning</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/14722en_ZA
dc.identifier.chicagocitationHeynes, Wynford Gustav. <i>"Selection of multicriteria decision making methodologies in scenario based planning."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1995. http://hdl.handle.net/11427/14722en_ZA
dc.identifier.citationHeynes, W. 1995. Selection of multicriteria decision making methodologies in scenario based planning. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Heynes, Wynford Gustav AB - This dissertation investigates the application of Multicriteria Decision Making (MCDM) methodologies to the area of scenario based policy planning. We examine how the tools of MCDM can be used to develop a Decision Support System (DSS) that would allow management or policy planners to resolve conflicting goals and interests. Ideally, the resolution would be obtained by the various decision makers (DMs) in such a manner, that it satisfies all the relevant interest groupings at a maximum level of achievement for all concerned. This is not always possible and compromises need to be made that are fair and equitable to all the relevant interests. Stewart et al. (1993), in a report entitled: "Scenario Based Multicriteria Policy Planning for Water Management in South Africa", develop the principles of a procedure for implementing scenario based multicriteria policy planning. Their iterative procedure is illustrated in figure 2.1, chapter 2, of this paper. In this dissertation, we refine certain parts of this procedure and the two areas in particular that we have looked at are: (1) filtering a large set of policy scenarios (Background Set), that could be a continuum, to form a smaller set (Foreground Set), and (2) further reducing the smaller set to form a solution set of policy scenarios. (The generic terms "Background Set" and "Foreground Set" are defined in section 2.1 of chapter 2.) The main objectives of this study were therefore mainly twofold and are as follows: (1) to determine what MCDM methods are relevant to natural resources management (using water as a case study), and (2) to investigate how these methods need to be adopted for use in an interactive DSS. We address the first objective by surveying the literature in an attempt to identify potential MCDM approaches that are suitable to (i) reduce a large set of alternatives, analogous to the Background Set, to a more manageable smaller set, analogous to the Foreground Set of alternatives, and (ii) refine this Foreground Set in order to present the DMs with a solution set of alternatives from which University of Cape Town they will make their final selection. The literature has until now not dealt explicitly with these two issues and we had to adapt certain MCDM approaches, many of which have been developed in a linear programming context, to suit our purposes. DA - 1995 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1995 T1 - Selection of multicriteria decision making methodologies in scenario based planning TI - Selection of multicriteria decision making methodologies in scenario based planning UR - http://hdl.handle.net/11427/14722 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/14722
dc.identifier.vancouvercitationHeynes WG. Selection of multicriteria decision making methodologies in scenario based planning. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1995 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/14722en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherOperations Researchen_ZA
dc.titleSelection of multicriteria decision making methodologies in scenario based planningen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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