Comparison of Interval Valued Pareto-Optimal Alternatives
dc.contributor.advisor | Barker, Kash | |
dc.contributor.author | Stewart, Andrew | |
dc.date.accessioned | 2016-12-16T17:23:50Z | |
dc.date.available | 2016-12-16T17:23:50Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | https://hdl.handle.net/11244/47066 | |
dc.description.abstract | Everyday tradeoff decisions are made where criteria must be compared, evaluated, and decided upon. In real world applications, variables have an inherent amount of uncertainty that must be regarded when making a decision, especially when considering interval data alternatives. There exists a need to incorporate uncertainty into the decision-making process but there are few straightforward approaches to directly compare interval valued variables. In this thesis, an approach to compare non dominated interval valued alternatives is conducted using TOPSIS in order to determine the shortest path from source to sink in a construction network. Key Terms: Shortest Path, Multi-Criteria Decision Making, TOPSIS, Interval, Non dominated | en_US |
dc.language | en_US | en_US |
dc.subject | Shortest Path | en_US |
dc.subject | Multi-Criteria Decision Making | en_US |
dc.subject | TOPSIS | en_US |
dc.subject | Interval | en_US |
dc.subject | Non-dominated | en_US |
dc.title | Comparison of Interval Valued Pareto-Optimal Alternatives | en_US |
dc.contributor.committeeMember | Raman, Shivakumar | |
dc.contributor.committeeMember | Nicholson, Charles | |
dc.date.manuscript | 2016 | |
dc.thesis.degree | Master of Science | en_US |
ou.group | College of Engineering::School of Industrial and Systems Engineering | en_US |
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