Decision support system for Brownfield Site Sustainable Regeneration.

The work described in this thesis concerns the development of a Brownfield Site Sustainable Regeneration - Decision Support System (BSSR-DSS). The project aims to develop a pilot system that can provide information and alternatives for sustainable brownfield regeneration as a platform to make decisions in this context. One of the main characteristics of the BSSR-DSS is its ability to process the input data (related to site characteristics), run simulations and assess/evaluate different scenarios in order to obtain the most sustainable solution. The process input data for the BSSR-DSS relates to a wide range of sustainability indicators that have been developed in the European Project "RESCUE - Regeneration of European Sites in Cities and Urban Environments". The system involves the elaboration of methods and approaches using innovative mathematical techniques such as Artificial Neural Networks and Fuzzy Logic to analyze and evaluate the input data (site characteristics and sustainability indicators) to produce a significant output. The literature review undertaken confirmed that no current system integrating the two above mathematical techniques has been implemented to date. The system is also linked to a Geographic Information System (GIS) called MAPINFO. This allows extensive information searches to be undertaken that can be site specific, and the information displayed on a map