title: Decision support systems for environmental management: a case study on wastewater from agriculture.
abstract: Dealing with spatial decision problems means combining and transforming geographical data (input) into a resultant decision (output), interfacing a Geographical Information System (GIS) with Multi-Criteria Decision Analysis (MCDA) methods. The conventional MCDA approach assumes the spatial homogeneity of alternatives within the case study area, although it is often unrealistic. On the other side, GIS provides excellent data acquisition, storage, manipulation and analysis capabilities, but in the case of a value structure analysis this capability is lower. For these reasons, several studies in the last twenty years have given attention to MCDA-GIS integration and to the development of Spatial Decision Support Systems (SDSS). Hitherto, most of these applications are based only on a formal integration between the two approaches. In this paper, we propose a complete MCDA-GIS integration with a plurality of MCDA methodologies, grouped in a suite. More precisely, we considered an open-source GIS (GRASS GIS 6.4) and a modular package including five MCDA modules based on five different methodologies. The methods included are: ELECTRE I, Fuzzy set, REGIME analysis, Analytic Hierarchy Process and Dominance-based Rough Set Approach. Thanks to the modular nature of the package, it is possible to add new methods without modifying the existing structure. To present the suite, we applied each module to the same case study, making comparisons. The strong points of the MCDA-GIS integration we developed are its open-source setting and the user friendly interface, both thanks to GRASS GIS, and the use of raster data. Moreover, our suite is a genuine case of perfect integration, where the spatial nature of criteria is always present.
authors.affiliation: Dept. of Agricultural, Environmental and Food Sciences, University of Perugia, Borgo XX Giugno, 74, 06121 Perugia, Italy. Electronic address: agr.gianluca.massei@gmail.com.
authors.forename: Gianluca
authors.initials: G
authors.lastname: Massei
authors.affiliation: Dept. of Agricultural, Environmental and Food Sciences, University of Perugia, Borgo XX Giugno, 74, 06121 Perugia, Italy. Electronic address: lucia.rocchi@unipg.it.
authors.forename: Lucia
authors.initials: L
authors.lastname: Rocchi
authors.affiliation: Dept. of Agricultural, Environmental and Food Sciences, University of Perugia, Borgo XX Giugno, 74, 06121 Perugia, Italy. Electronic address: luisa.paolotti@gmail.com.
authors.forename: Luisa
authors.initials: L
authors.lastname: Paolotti
authors.affiliation: Dept. of Economics and Enterprise, Corso Italia, 55, 95129 Catania CT, Italy; Portsmouth Business School, Operations & Systems Management University of Portsmouth, Portsmouth PO1 3DE, United Kingdom. Electronic address: salgreco@unict.it.
authors.forename: Salvatore
authors.initials: S
authors.lastname: Greco
authors.affiliation: Dept. of Agricultural, Environmental and Food Sciences, University of Perugia, Borgo XX Giugno, 74, 06121 Perugia, Italy. Electronic address: antonio.boggia@unipg.it.
authors.forename: Antonio
authors.initials: A
authors.lastname: Boggia
mesh_terms: D000383:Agriculture / Q000379:methods; D003661:Decision Support Techniques; D040362:Geographic Information Systems; D007558:Italy; D012984:Software; D012987:Soil / Q000737:chemistry; D062065:Wastewater / Q000737:chemistry*
chemical_list: D012987:Soil; D062065:Wastewater
keywords: GIS; GIS-MCDA integration; Modular package; Multicriteria analysis; Spatial Decision Support Systems