| Autor: |
Cavicchia, C, Sarnacchiaro, P, Vichi, M, Zaccaria, G |
| Přispěvatelé: |
Cavicchia, C, Sarnacchiaro, P, Vichi, M, Zaccaria, G |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Popis: |
In the last years, the use of composite indicators has consistently increased, and the necessity to build model-based composite indicators with a strong methodological statistical approach becomes more and more important for reasons of trustworthiness. In this paper, we propose to build a composite indicators system able to measure different levels of relations among (group of) variables according to an ultrametric form which detects a hierarchical structure upon (group of) variables. Each dimension is measured as a specific composite indicator which reflects a subset of variables. In order to show its potential and applicability, the methodology is employed to analyze a dataset which contains variables about separated waste collection in Italy taking into consideration both its performance and its costs. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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