Modeling fuzzy criteria preference to evaluate tradespace of system alternatives
| dc.contributor.author | White, Wesley Gunnar, author | |
| dc.contributor.author | Chandrasekar, V., advisor | |
| dc.contributor.author | Bradley, Thomas, committee member | |
| dc.contributor.author | Chavez, Jose, committee member | |
| dc.contributor.author | Jayasumana, Anura P., committee member | |
| dc.date.accessioned | 2018-09-10T20:05:46Z | |
| dc.date.available | 2018-09-10T20:05:46Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | This dissertation explores techniques for evaluating system concepts using the point of diminishing marginal utility to determine a best value alternative with an optimal combination of risk, performance, reliability, and life cycle cost. The purpose of this research is to address the uncertainty of customer requirements and assess crisp and fuzzy design parameters to determine a best value system. At the time of this research, most commonly used decision analysis (DA) techniques use minimum and maximum values under a specific criterion to evaluate each alternative. These DA methods do not restrict scoring beyond the point of diminished marginal utility resulting in superfluous capabilities and overvalued system alternatives. Using these models, an alternative being evaluated could receive significantly higher scores when reported capabilities are greater than ideal customer requirements. This problem is pronounced whenever weights are applied to criteria where excessive capabilities are recorded. The techniques explored in this dissertation utilize fuzzy membership functions to restrict scoring for alternatives that provide excess capabilities beyond ideal customer requirements. This research investigates and presents DA techniques for evaluating system alternatives that determine an ideal compromise between risk, performance criteria, reliability and life cycle costs. | |
| dc.format.medium | born digital | |
| dc.format.medium | doctoral dissertations | |
| dc.identifier.uri | https://hdl.handle.net/10217/191476 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | concept development | |
| dc.subject | fuzzy mathematics | |
| dc.subject | trade studies | |
| dc.subject | decision science | |
| dc.subject | business analytics | |
| dc.subject | optimization | |
| dc.title | Modeling fuzzy criteria preference to evaluate tradespace of system alternatives | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Systems Engineering | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy (Ph.D.) |
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