Handling uncertainty in Multi Regional Input-Output models by entropy maximization and fuzzy programming

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Abstract

Recently, great attention has been paid to the uncertainties associated with Multi Regional Input-Output (MRIO) models related to the available data sources. We propose a new method based on the entropy maximization principle and fuzzy optimization, which takes explicitly into account the uncertainty embedded in available information. It allows to estimate jointly the values of production level, the trade coefficients and the final demand values assuming the availability of incomplete and/or approximate data on some elements of trade coefficients and of final demand of goods. The model, applied to real scale problem, shows good estimation performances and robustness in different scenario.

Autore Pugliese

Tutti gli autori

  • Caggiani L , Ottomanelli M , Dell'Orco M

Titolo volume/Rivista

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

Anno di pubblicazione

2014

ISSN

1366-5545

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

3

Ultimo Aggiornamento Citazioni

2017-04-22 03:20:59

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile