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George E. Apostolakis. Elliott, Michael A. (Michael Alfred) Massachusetts Institute of Technology. Dept. of Nuclear Science and Engineering. Massachusetts Institute of Technology. Department of Nuclear Science and Engineering 2011-05-09T15:20:28Z 2011-05-09T15:20:28Z 2010 2010 http://hdl.handle.net/1721.1/62690 714407608 Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2010. Cataloged from PDF version of thesis. Includes bibliographical references (p. 104-107). Risk-informed decision-making (RIDM) is a formal process that assists stakeholders make decisions in the face of uncertainty. At MIT, a tool known as the Analytic Deliberative Decision Making Process (ADP) has been under development for a number of years to provide an efficient framework for implementing RIDM. ADP was initially developed as a tool to be used by a small group of stakeholders but now it has become desirable to extend ADP to an engineering scale that can be used by many individual across large organizations. This dissertation identifies and addresses four challenges in extended the ADP to an engineering scale. Rigorous preference elicitation using pairwise comparisons is addressed. A new method for judging numerical scales used in these comparisons is presented along with a new type of scale. This theory is tested by an experiment involving 64 individuals and it is found that the optimal scale is a matter of individual choice. The elicitation of expert opinion is studied and a process that adapts to the complexity of the decision at hand is proposed. This method is tested with a case study involving the choice of a heat removal technology for a new type of fission reactor. Issues related to the unique informational needs of large organizations are investigated and new tools to handle these needs are developed. Finally, difficulties with computationally intensive modeling and simulation are identified and a new method of uncertainty propagation using orthogonal polynomials is explored. Using a code designed to investigate the LOCA behavior of a fission reactor, it is demonstrated that this new propagation methods offers superior convergence over existing techniques. by Michael A. Elliott. Ph.D. 126 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Nuclear Science and Engineering. Contributions to risk-informed decision making Contributions to RIDM Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="cfc00644-fe3b-434d-bef0-dd876d712230"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Contributions to risk-informed decision making</Title> <Subtitle>Contributions to RIDM</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2010</PublicationDate> <Authors> <Author> <DisplayName>Elliott, Michael A. (Michael Alfred)</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Nuclear Science and Engineering.</Keyword> <Abstract>Risk-informed decision-making (RIDM) is a formal process that assists stakeholders make decisions in the face of uncertainty. At MIT, a tool known as the Analytic Deliberative Decision Making Process (ADP) has been under development for a number of years to provide an efficient framework for implementing RIDM. ADP was initially developed as a tool to be used by a small group of stakeholders but now it has become desirable to extend ADP to an engineering scale that can be used by many individual across large organizations. This dissertation identifies and addresses four challenges in extended the ADP to an engineering scale. Rigorous preference elicitation using pairwise comparisons is addressed. A new method for judging numerical scales used in these comparisons is presented along with a new type of scale. This theory is tested by an experiment involving 64 individuals and it is found that the optimal scale is a matter of individual choice. The elicitation of expert opinion is studied and a process that adapts to the complexity of the decision at hand is proposed. This method is tested with a case study involving the choice of a heat removal technology for a new type of fission reactor. Issues related to the unique informational needs of large organizations are investigated and new tools to handle these needs are developed. Finally, difficulties with computationally intensive modeling and simulation are identified and a new method of uncertainty propagation using orthogonal polynomials is explored. Using a code designed to investigate the LOCA behavior of a fission reactor, it is demonstrated that this new propagation methods offers superior convergence over existing techniques.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>