A methodology for tracing the rank invariance region in multi-criterion selection problems: Application to negative emission technologies
College
Gokongwei College of Engineering
Department/Unit
Chemical Engineering
Document Type
Article
Source Title
Process Integration and Optimization for Sustainability
Volume
3
Issue
4
First Page
533
Last Page
536
Publication Date
12-1-2019
Abstract
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.
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Digitial Object Identifier (DOI)
10.1007/s41660-019-00089-4
Recommended Citation
Tan, R. R., Almario, E. R., Aviso, K. B., Cruz, J. B., & Promentilla, M. B. (2019). A methodology for tracing the rank invariance region in multi-criterion selection problems: Application to negative emission technologies. Process Integration and Optimization for Sustainability, 3 (4), 533-536. https://doi.org/10.1007/s41660-019-00089-4
Disciplines
Chemical Engineering
Keywords
Multiple criteria decision making; Pollution prevention
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