Indicators play an increasing role in characterizing complex systems and – to some degree – in decision problems, when a ranking is thought of as an intermediate step for a selection of optimal – or depending on external constraints – suboptimal options. When ranking is the aim, we cannot usually describe it by a single indicator. We need a set of indicators, called a Multi-Indicator system (MIS). Typically, an analysis of MIS is confronted with the following problems: • Scaling level: What to do, if the indicators are on a nominal, ordinal, or metric level • Relevance of indicators: Are we confronted with somewhat which may be called information noise? • Role of the inherent characteristic of partial orders, the incomparability. Is incomparability an unavoidable disadvantage? Methods to check these points are presented and critically discussed.
Indicators in the framework of Partial Order / Maggino, Filomena; Bruggeman, Rainer; Alaimo, LEONARDO SALVATORE. - (2021), pp. 17-29. [10.1007/978-3-030-59683-5].
Indicators in the framework of Partial Order
Filomena Maggino;Leonardo Alaimo
2021
Abstract
Indicators play an increasing role in characterizing complex systems and – to some degree – in decision problems, when a ranking is thought of as an intermediate step for a selection of optimal – or depending on external constraints – suboptimal options. When ranking is the aim, we cannot usually describe it by a single indicator. We need a set of indicators, called a Multi-Indicator system (MIS). Typically, an analysis of MIS is confronted with the following problems: • Scaling level: What to do, if the indicators are on a nominal, ordinal, or metric level • Relevance of indicators: Are we confronted with somewhat which may be called information noise? • Role of the inherent characteristic of partial orders, the incomparability. Is incomparability an unavoidable disadvantage? Methods to check these points are presented and critically discussed.File | Dimensione | Formato | |
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