An Approach for Environmental Impact Assessment

In the environment impacts assessment context, several methods are proposed in literature, such as life cycle analysis, multi criteria analysis and cost benefit analysis etc. Recently, others methods combining MCDA (Multi Criteria Decision Analysis) and AI (Artificial Intelligence) have been explored to develop enhanced methodologies for knowledge based decision support. In this paper, a new approach is presented for environmental assessment of urban mobility. Various criteria should be evaluated using complex data obtained from several information sources. Therefore, the measure evaluation related to urban mobility is a hard task that does not always lead to efficient results. The problem treated in this paper, is complex with insufficient, fuzzy and uncertain data. A hybrid approach based on multi criteria analysis and various information sources has been proposed. The methodology uses fuzzy set theory for modeling criteria and belief theory (DempsterShafer Theory (DST)) for evaluations fusion and it is able to handle uncertainty and vagueness. Key-Words: Multi-criteria analysis, decision support systems, environmental, impact assessment.