The paper shows how multiple criteria decision aiding (MCDA) tools can support the analyses of six hypotheses of adaptive reuse of an iconic historical building in Turin, Italy (called stock exchange) to identify the preferred alternative. In the last 2 years, the debate around the requalification of the building has been huge for several reasons: it is perceived as a “monument” by citizens; it shows architectural and typological values nationally recognized; it involves public and private interests. In this context, we tested the applicability of a recently proposed multicriteria decision making methodology to architecture field. This decision support approach is a conjunction of four MCDA methods, namely: multiple criteria hierarchy process (MCHP), permitting to consider structural relationships between criteria; ELECTRE III, considering three types of interaction effects between criteria (strengthening, weakening and antagonistic effects); the imprecise SRF method, supplying an easily understandable approach to collect information from the Decision Maker; and stochastic multicriteria acceptability analysis (SMAA), providing robust recommendation, in terms of rankings and relations of preference, indifference and incomparability between project alternatives, at each level of the hierarchy. We propose a modification of the SRF methodology, called SFR-II, to increase the reliability of the decision aid procedure, which could constitute a significant advance for the same SRF method.

The introduction of the SRF-II method to compare hypothesis of adaptive reuse for an iconic historical building / Abastante, Francesca; Corrente, Salvatore; Greco, Salvatore; Lami, Isabella M.; Mecca, Beatrice. - In: OPERATIONAL RESEARCH. - ISSN 1109-2858. - ELETTRONICO. - (2020). [10.1007/s12351-020-00611-4]

The introduction of the SRF-II method to compare hypothesis of adaptive reuse for an iconic historical building

Abastante, Francesca;Lami, Isabella M.;Mecca, Beatrice
2020

Abstract

The paper shows how multiple criteria decision aiding (MCDA) tools can support the analyses of six hypotheses of adaptive reuse of an iconic historical building in Turin, Italy (called stock exchange) to identify the preferred alternative. In the last 2 years, the debate around the requalification of the building has been huge for several reasons: it is perceived as a “monument” by citizens; it shows architectural and typological values nationally recognized; it involves public and private interests. In this context, we tested the applicability of a recently proposed multicriteria decision making methodology to architecture field. This decision support approach is a conjunction of four MCDA methods, namely: multiple criteria hierarchy process (MCHP), permitting to consider structural relationships between criteria; ELECTRE III, considering three types of interaction effects between criteria (strengthening, weakening and antagonistic effects); the imprecise SRF method, supplying an easily understandable approach to collect information from the Decision Maker; and stochastic multicriteria acceptability analysis (SMAA), providing robust recommendation, in terms of rankings and relations of preference, indifference and incomparability between project alternatives, at each level of the hierarchy. We propose a modification of the SRF methodology, called SFR-II, to increase the reliability of the decision aid procedure, which could constitute a significant advance for the same SRF method.
File in questo prodotto:
File Dimensione Formato  
ORIJ_TheintroductionoftheSRFIImethod.pdf

non disponibili

Descrizione: Articolo principale
Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 2.31 MB
Formato Adobe PDF
2.31 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

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/11583/2853916