Abstract
Existing literature about constructing composite indicators (CIs) mainly depend on weighting sub-indicators. In this paper, we first use a state-of-the-art MCDM method with mild weights restrictions to aggregate sub-indicators, without determining exact values of weights. We take into consideration of all possible importance rankings of sub-indicators to construct CIs. Two alternative approaches, namely, minimizing the total deviation from the ideal point and minimizing the mean absolute deviation, are then proposed to develop weighting schemes with respect to all sub-indicators sequences. The proposed approaches are applied to construct a Sustainable Energy Index for eighteen APEC economies.
| Original language | English |
|---|---|
| Pages (from-to) | 747-759 |
| Journal | Operational Research |
| Volume | 17 |
| Issue number | 3 |
| Online published | 5 Apr 2016 |
| DOIs | |
| Publication status | Published - Oct 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Research Keywords
- Composite indicators
- Multiple criteria decision making
- Common weights
- Aggregation
- DATA-ENVELOPMENT-ANALYSIS
- DEA
- WEIGHTS
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