Integrating agricultural sustainability into policy planning: A geo-referenced framework based on Rough Set theory. Issue 54 (December 2015)

• Record Type: Journal Article
• Authors: Demartini, Eugenio; Gaviglio, Anna; Bertoni, Danilo
• Is Part Of: Environmental science & policy. Issue 54(2015:Dec.)
• Page Start: 226
• Page End: 239
• Publication Date: 2015-12
• Subjects: Agricultural Sustainability -- Rough Set theory -- Sustainability indicators -- Information induction -- Decision-making; Environmental policy -- Periodicals; Environmental sciences -- Periodicals; Environnement -- Politique gouvernementale -- Périodiques; Sciences de l'environnement -- Périodiques; Environmental policy; Environmental sciences; Periodicals; Electronic journals; 363.70561
• DOI: 10.1016/j.envsci.2015.07.006
• Languages: English
• ISSNs: 1462-9011

Abstract

Highlights: Integrating agricultural sustainability into policy planning presents difficulties. A georeferenced model for policy planning support is proposed. Rough Set theory is used for data reduction and information induction. Data pre-processing and model evaluation methodologies are discussed. The proposed framework helps in recognizing patterns within agricultural areas. Abstract: We propose a geo-referenced framework for agricultural sustainability assessment aimed at supporting policy planning. The framework is based on Rough Set theory and (i) integrates the three pillars of sustainability; (ii) proposes an easy measurement of agricultural systems' ability to resist over time (agricultural resilience); (iii) offers easy-to-read results; and (iv) reduces the gap between researchers' analytical skills and decision-makers' needs. In the paper, a part of the framework, we present essential and practical notion of Rough Set theory and a case study based on Lombardy Region (Italy). Finally, some values and lacks of the method are discussed.