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Valentina Ferretti

Researcher at Polytechnic University of Milan

Publications -  92
Citations -  1781

Valentina Ferretti is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Decision support system & Multiple-criteria decision analysis. The author has an hindex of 22, co-authored 88 publications receiving 1443 citations. Previous affiliations of Valentina Ferretti include Polytechnic University of Turin & London School of Economics and Political Science.

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Decision making and cultural heritage: An application of the Multi-Attribute Value Theory for the reuse of historical buildings

TL;DR: In this paper, a real case concerning the reuse of historical buildings in the metropolitan area of Torino (Italy), the authors explored the contribution of Multi-Attribute Value Theory (MAVT) for decision problems in the field of cultural heritage.
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Ecological land suitability analysis through spatial indicators: An application of the Analytic Network Process technique and Ordered Weighted Average approach

TL;DR: The development of a MC-SDSS approach for studying the ecological connectivity of the Piedmont Region in Italy is illustrated, highlighting that the applied methodology is an effective tool in providing decision support for spatial planning and sustainability assessments.
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Key challenges and meta-choices in designing and applying multi-criteria spatial decision support systems

TL;DR: In this paper, the authors identify the key challenges in designing and applying multi-criteria spatial decision support systems (MC-SDSS) and the associated meta-choices.
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From stakeholders’ analysis to cognitive mapping and Multi Attribute Value Theory: an integrated approach for policy support

TL;DR: In this article, a decision support framework that guides policy makers in their strategic decisions by using a multi-method approach based on the integration of three tools, i.e., stakeholders analysis, to identify the multiple interests involved in the process, cognitive mapping, to define the shared set of objectives for the analysis, and multi-Attribute value theory, to measure the level of achievement of previously defined objectives by the policy options under investigation.
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From stakeholders analysis to cognitive mapping and Multi Attribute Value Theory: an integrated approach for policy support

TL;DR: A decision support framework that guides policy makers in their strategic decisions by using a multi-method approach based on the integration of three tools, i.e., stakeholders analysis, cognitive mapping, and Multi-Attribute Value Theory is discussed.