The construction of an ordinal scale Y , to be associated to a performance index in evaluating social-agents, is outlined which is quanti ed, adopting an intrinsic worthiness criterion, standardized on a chosen reference-agent, eg that which is intended as representing a (actual or perhaps hypothetical) best practice . The usual practice of using the equispaced scale is re-interpreted. The ordinal levels of Y are identified by design through scheduling a hierarchical sequence of increasingly stringent goals to be achieved . The index, to be associated to Y , borrows the structure of the Yaari-Quiggin functional, from the RDEU theory. But, the concept of value increases , in advancing on the scheduled goals, is meaningfully re-interpreted herein, besides utility-based meaning, as social worthiness . These value increases may be extracted, fully normalized on the data-behavior of the chosen reference social-agent , upon a probabilistic formal setting using data- analysis (perhaps pseudo-Bayesian) tools. Thus, the ordinal levels of Y remain quantified, alternatively to various other approaches.

Worthiness-based Scale Quantifying Re-interpretare scale ordinali equi-distanziate

D'EPIFANIO GIULIO
2020

Abstract

The construction of an ordinal scale Y , to be associated to a performance index in evaluating social-agents, is outlined which is quanti ed, adopting an intrinsic worthiness criterion, standardized on a chosen reference-agent, eg that which is intended as representing a (actual or perhaps hypothetical) best practice . The usual practice of using the equispaced scale is re-interpreted. The ordinal levels of Y are identified by design through scheduling a hierarchical sequence of increasingly stringent goals to be achieved . The index, to be associated to Y , borrows the structure of the Yaari-Quiggin functional, from the RDEU theory. But, the concept of value increases , in advancing on the scheduled goals, is meaningfully re-interpreted herein, besides utility-based meaning, as social worthiness . These value increases may be extracted, fully normalized on the data-behavior of the chosen reference social-agent , upon a probabilistic formal setting using data- analysis (perhaps pseudo-Bayesian) tools. Thus, the ordinal levels of Y remain quantified, alternatively to various other approaches.
2020
9788891910776
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1555793
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact