A methodology for tracing the rank invariance region in multi-criterion selection problems: Application to negative emission technologies

It has been previously established that, for multi-criterion selection problems, over a finite set of options, solved via simple additive weighting, there exists a set of weights for which the optimal alternative remains the best choice. This invariance region in the n-dimensional hyperspace defined...

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Main Authors: Tan, Raymond Girard R., Almario, Elvin Michael R., Aviso, Kathleen B., Cruz, Jose B., Promentilla, Michael Angelo B.
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在線閱讀:https://animorepository.dlsu.edu.ph/faculty_research/4401
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-51982021-12-03T07:05:40Z A methodology for tracing the rank invariance region in multi-criterion selection problems: Application to negative emission technologies Tan, Raymond Girard R. Almario, Elvin Michael R. Aviso, Kathleen B. Cruz, Jose B. Promentilla, Michael Angelo B. It has been previously established that, for multi-criterion selection problems, over a finite set of options, solved via simple additive weighting, there exists a set of weights for which the optimal alternative remains the best choice. This invariance region in the n-dimensional hyperspace defined by the problem criteria contains the set of all weights for which the optimal solution is robust to preference changes. When the set of options is a continuum, there are no known invariance regions reported in the literature. In this work, we develop a procedure to characterize and trace this invariance region when the number of options is finite. The methodology is demonstrated on a case study involving a selection of negative emission technologies based on carbon sequestration potential, water footprint, energy demand, and cost. © 2019, Springer Nature Singapore Pte Ltd. 2019-12-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/4401 info:doi/10.1007/s41660-019-00089-4 Faculty Research Work Animo Repository Multiple criteria decision making Pollution prevention Chemical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Multiple criteria decision making
Pollution prevention
Chemical Engineering
spellingShingle Multiple criteria decision making
Pollution prevention
Chemical Engineering
Tan, Raymond Girard R.
Almario, Elvin Michael R.
Aviso, Kathleen B.
Cruz, Jose B.
Promentilla, Michael Angelo B.
A methodology for tracing the rank invariance region in multi-criterion selection problems: Application to negative emission technologies
description It has been previously established that, for multi-criterion selection problems, over a finite set of options, solved via simple additive weighting, there exists a set of weights for which the optimal alternative remains the best choice. This invariance region in the n-dimensional hyperspace defined by the problem criteria contains the set of all weights for which the optimal solution is robust to preference changes. When the set of options is a continuum, there are no known invariance regions reported in the literature. In this work, we develop a procedure to characterize and trace this invariance region when the number of options is finite. The methodology is demonstrated on a case study involving a selection of negative emission technologies based on carbon sequestration potential, water footprint, energy demand, and cost. © 2019, Springer Nature Singapore Pte Ltd.
format text
author Tan, Raymond Girard R.
Almario, Elvin Michael R.
Aviso, Kathleen B.
Cruz, Jose B.
Promentilla, Michael Angelo B.
author_facet Tan, Raymond Girard R.
Almario, Elvin Michael R.
Aviso, Kathleen B.
Cruz, Jose B.
Promentilla, Michael Angelo B.
author_sort Tan, Raymond Girard R.
title A methodology for tracing the rank invariance region in multi-criterion selection problems: Application to negative emission technologies
title_short A methodology for tracing the rank invariance region in multi-criterion selection problems: Application to negative emission technologies
title_full A methodology for tracing the rank invariance region in multi-criterion selection problems: Application to negative emission technologies
title_fullStr A methodology for tracing the rank invariance region in multi-criterion selection problems: Application to negative emission technologies
title_full_unstemmed A methodology for tracing the rank invariance region in multi-criterion selection problems: Application to negative emission technologies
title_sort methodology for tracing the rank invariance region in multi-criterion selection problems: application to negative emission technologies
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/4401
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