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dc.contributor.authorTavana, M.en
dc.contributor.authorHatami-Marbini, A.en
dc.date.accessioned2017-03-06T10:14:41Z
dc.date.available2017-03-06T10:14:41Z
dc.date.issued2011-04-28
dc.identifier.citationTavana, M. and Hatami-Marbini, A. (2011) A group AHP-TOPSIS framework for human spaceflight mission planning at NASA. Expert Systems with Applications, 38 (11), pp. 13588-13603en
dc.identifier.urihttp://hdl.handle.net/2086/13408
dc.description.abstractHuman spaceflight mission planning is a complex task with many interacting systems and mission phases. Analog missions are Earth-based science missions whose purpose is to help understand the complexities inherent in future human spaceflight missions. The goal of performing an analog mission is to prepare crewmembers and support teams for future space missions in a low risk-low cost environment by repeatedly testing vehicles, habitats, and surface terrain simulators. This study presents a group multi-attribute decision making (MADM) framework developed at the Johnson Space Center (JSC) for the Integrated human exploration mission simulation facility (INTEGRITY) project to assess the priority of human spaceflight mission simulators. The proposed framework integrates subjective judgments derived from the analytic hierarchy process (AHP) with the entropy information and the technique for order preference by similarity to the ideal solution (TOPSIS) into a series of preference models for the human exploration of Mars. Three different variations of TOPSIS including conventional, adjusted and modified TOPSIS methods are considered in the proposed framework.en
dc.language.isoenen
dc.publisherElsevieren
dc.subjectGroup multi-attribute decision makingen
dc.subjectAnalytic hierarchy processen
dc.subjectTOPSISen
dc.subjectEntropyen
dc.subjectAdjusted TOPSISen
dc.subjectModified TOPSISen
dc.subjectHuman spaceflighten
dc.subjectNASAen
dc.titleA group AHP-TOPSIS framework for human spaceflight mission planning at NASAen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2011.04.108
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceN/Aen


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