The environmental indicator choice process for studying a specific context results from a fundamental analysis of the objectives, with the consideration that a good indicator must be specific, sensitive, practical and pertinent to the case under study and carefully defined. The sustainable indicators are characterised by a low degree of aggregation and a high amount of information. The scope of this work is to assign, by fuzzy logic, the weights to the different indicators that can be taken in consideration in an environmental impact, so to obtain a significant homogeneity and objectivity. In this paper is illustrated the calculation of the assigned weights that uses a procedure based on fuzzy logic and to define a model that allows us to estimate the sustainability of a city.

Fuzzy logic applied for sustainable urban models

ROSCIA, Mariacristina;
2011-01-01

Abstract

The environmental indicator choice process for studying a specific context results from a fundamental analysis of the objectives, with the consideration that a good indicator must be specific, sensitive, practical and pertinent to the case under study and carefully defined. The sustainable indicators are characterised by a low degree of aggregation and a high amount of information. The scope of this work is to assign, by fuzzy logic, the weights to the different indicators that can be taken in consideration in an environmental impact, so to obtain a significant homogeneity and objectivity. In this paper is illustrated the calculation of the assigned weights that uses a procedure based on fuzzy logic and to define a model that allows us to estimate the sustainability of a city.
journal article - articolo
2011
Roscia, Mariacristina; Zaninelli, Dario; Lazaroiu, George Cristian
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/30285
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