Search

Your search keyword '"Cinelli, Marco"' showing total 22 results
Start Over Author "Cinelli, Marco" Publisher elsevier bv
22 results on '"Cinelli, Marco"'

7. A framework based on statistical analysis and stakeholders' preferences to inform weighting in composite indicators

Author

Lindén, David, Cinelli, Marco, Spada, Matteo, Becker, William, Gasser, Patrick, Burgherr, Peter, Lindén, David, Cinelli, Marco, Spada, Matteo, Becker, William, Gasser, Patrick, and Burgherr, Peter

Abstract

Composite Indicators (CIs, a.k.a. indices) are increasingly used as they can simplify interpretation of results by condensing the information of a plurality of underlying indicators in a single measure. This paper demonstrates that the strength of the correlations between the indicators is directly linked with their capacity to transfer information to the CI. A measure of information transfer from each indicator is proposed along with two weightoptimization methods, which allow the weights to be adjusted to achieve either a targeted or maximized information transfer. The tools presented in this paper are applied to a case study for resilience assessment of energy systems, demonstrating how they can support the tailored development of CIs. These findings enable analysts bridging the statistical properties of the index with the weighting preferences from the stakeholders. They can thus choose a weighting scheme and possibly modify the index while achieving a more consistent (by correlation) index., QC 20211026

Published
2021
Full Text
View/download PDF

13. Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment

Author

Cinelli, Marco, Coles, Stuart, and Kirwan, Kerry

Subjects
Decision Sciences(all), T1, Ecology, Sustainability assessment, Multi-criteria-decision-analysis, Data integration, Outranking methods, Decision rules, DRSA, QA, Ecology, Evolution, Behavior and Systematics
Abstract

Sustainability assessments require the management of a wide variety of information types, parameters and uncertainties. Multi criteriadecision analysis(MCDA) has been regarded as a suitable set of methods to perform sustainability evaluations as a result of its flexibility and the possibility of facilitating the dialogue between stakeholders, analysts and scientists. However, it has been reported that researchers do not usually properly define the reasons for choosing a certain MCDA method instead of another. Familiarity and affinity with a certain approach seem to be the drivers for the choice of a certain procedure. This reviewpaperpresents the performance of five MCDA methods (i.e. MAUT, AHP, PROMETHEE, ELECTRE and DRSA) in respect to ten crucial criteria that sustainability assessments tools should satisfy, among which are a life cycle perspective, thresholds and uncertainty management, software support and ease of use. The review shows that MAUT and AHP are fairly simple to understand and have good software support, but they are cognitively demanding for the decision makers, and can only embrace a weak sustainability perspective as trade-offs are the norm. Mixed information and uncertainty can be managed by all the methods, while robust results can only be obtained with MAUT. ELECTRE, PROMETHEE and DRSA are non-compensatory approaches which consent to use a strong sustainability concept, accept a variety of thresholds, but suffer from rank reversal. DRSA is less demanding in terms of preference elicitation, is very easy to understand and provides a straightforward set of decision rules expressed in the form of elementary “if … then …” conditions. Dedicated software is available for all the approaches with a medium to wide range of results capability representation. DRSA emerges as the easiest method, followed by AHP, PROMETHEE and MAUT, while ELECTRE is regarded as fairly difficult. Overall, the analysis has shown that most of the requirements are satisfied by the MCDA methods (although to different extents) with the exclusion of management of mixed data types and adoption of life cycle perspective which are covered by all the considered approaches.

Published
2014
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results