Methodology Based On Qualitative Reasoning: Measuring The Evolution Level Of Sustainability In A City
Author(s)
J Rosés, G García & C Rodríguez
Abstract
The purpose of this paper is to present a new Artificial Intelligence Methodology based on Qualitative Reasoning to establish the evolution level of sustainability in a city and which actions and measures should be done to achieve a more sustainable development, The results of this methodology will provide a helpful tool to design the Local Agenda 21.
Depending on the purpose sought, we propose different facilities, an Integral Model of the City for the Analysis of Sustainability, a Sectorial Model of the City for the Analysis of Sustainability and the Management Model of the City for the Analysis of Sustainability. The model gives the following functionalities: diagnosis, strategy, impact evaluation and adaptability.
The description of the variables, the relation between them and the structure equations are integrated in a system of Qualitative Reasoning, which give us a qualitative index of sustainability.
As a conclusion, this tool allows the city decision-makers to know whether the management has been developed in a sustainable manner, and which are the actions to implement if the result of the diagnosis is negative. This method also brings the possibility of predicting the evolution of the sustainability in terms of new projects to be implemented.
1 Introduction
The studies of CODIMA have been conceived and carried out on the basis that the sustainable development of a community has already reached its maturity, as
Keywords
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