Title :
An Approach for Environmental impacts Assessment using Belief Theory
Author :
Omrani, H. ; Ion-Boussier, L. ; Trigano, P.
Author_Institution :
HEUDIASYC Lab., Univ. de Technologie de Compiegne
Abstract :
A novel methodology for decision-making under uncertainty in environmental assessment of urban mobility is proposed. The problem treated is complex with insufficient, fuzzy and uncertain data. Hence, we propose to use belief theory (Dempster-Shafer theory) in order to combine the opinions of experts to evaluate the environmental impact of an ameliorative action to be carried out in the sector of transportation. First, we present urban mobility and its environmental impact. Secondly, we propose an approach and an algorithm for decision making under uncertainty in order to assess projects related to transportation to improve urban mobility. Finally a study is used to validate the proposed approach
Keywords :
decision making; environmental factors; fuzzy logic; fuzzy set theory; town and country planning; transportation; uncertainty handling; Dempster-Shafer theory; belief theory; decision-making; environmental impacts assessment; evidence theory; fuzzy logic; urban mobility; Cities and towns; Decision making; Intelligent systems; Physics; Pollution measurement; Road transportation; Telephony; Testing; Uncertainty; Vehicle safety; Decision Making; Dempster-Shafer Theory; Environmental Impact Assessment; Evidence Theory; Fuzzy Logic; Uncertainty; Urban Mobility;
Conference_Titel :
Intelligent Systems, 2006 3rd International IEEE Conference on
Conference_Location :
London
Print_ISBN :
1-4244-01996-8
Electronic_ISBN :
1-4244-01996-8
DOI :
10.1109/IS.2006.348462
