Design and Comparison Of Sample Allocation Schemes For Multi-Attribute Decision Making

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dc.contributor.advisorHerrmann, Jeffreyen_US
dc.contributor.authorMehta, Kunalen_US
dc.contributor.departmentSystems Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2018-07-17T06:33:50Z
dc.date.available2018-07-17T06:33:50Z
dc.date.issued2018en_US
dc.description.abstractIn case of multi-attribute decisions, when a decision maker has a limited budget for data collection, then the decision maker has to decide on the number of samples to observe from each alternative and its attributes. This allocation decision is of importance when the observation process is uncertain, such as with physical measurements. This thesis presents a sequential allocation approach in which measurements are conducted one at a time. Prior to making a measurement the decision-maker’s current knowledge of the attribute values is used to identify the attribute and alternative pair to sample next using all these allocation procedures. The thesis discusses a simulations study that was performed to compare the Sequential Allocation Approach, Proportional Allocation Approach and Uniform Allocation Approach. We evaluated the frequency of selecting the true best alternative when the attribute value observations contain discrete random measurement error. The results indicate that the sequential approach is significantly better than the other approaches when the budget is small; as the budget increases, its advantage decreases.en_US
dc.identifierhttps://doi.org/10.13016/M2HT2GF8T
dc.identifier.urihttp://hdl.handle.net/1903/21078
dc.language.isoenen_US
dc.subject.pqcontrolledEngineeringen_US
dc.subject.pqcontrolledOperations researchen_US
dc.subject.pquncontrolledalternativesen_US
dc.subject.pquncontrolleddecision makingen_US
dc.subject.pquncontrolleddecision theoryen_US
dc.subject.pquncontrolledmulti attribute decision makingen_US
dc.titleDesign and Comparison Of Sample Allocation Schemes For Multi-Attribute Decision Makingen_US
dc.typeThesisen_US

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