Management of Water Pollutants Based on Multi-Criteria Analysis and Fuzzy Logics

Cescotto, Serge; Roubens, Marc; Rigo, Nicolas; Gao, Shixiang; Wang, Xiaodong; Zhang, Aiquan; Lourenço, Nelson; Xiang, Xin; Ferreira, J.P. Lobo

doi:10.1007/978-3-540-48260-4_1

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“…By combining these two sources, we decided to select the PROMETHEE method for both its no negligible efficiency and understanding easiness advantages by the non-mathematical experts. The analysis of applications of multicriteria decision aiding methods highlighted in the work of Azibi and Van der Pooten (1997), Cescotto et al (2006), Colson and Mbangala (1998), and Schweigert (1995) helped us for designing our structured pyramidal integrated assessment framework. Brans and Mareshal (2005) detail the PROMETHEE mathematical approach which was of key importance for the calculations of the rankings.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance assessment for intermodal chains

Rigo

Hekkenberg

Ndiaye

et al. 2007

European Journal of Transport and Infrastructure Research

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The reasons for choosing or promoting a certain way of transporting goods are dependent on a multitude of factors. Shippers will be interested in reliable logistics and low cost, while authorities are in general more concerned with relieving congestion and minimizing the environmental impact of transport in general, while accident-free transport is in the interest of all parties involved. Historically, many analysis methods have been developed that include one or more of the above factors, both for transport and non-transport purposes. For the European funded 6th framework project CREATING however, aims to achieve an integrated approach to the assessment of transport, focused on intermodal chains at a micro level, which required highly specific input data which was not readily available from literature. In order to solve this, the authors have joined forces: Delft University developed a model that determines transport cost and emissions related to intermodal transport chains, based on the technical and operational aspects of the transport means utilized, while Budapest University developed a method to measure logistic performance of specific transport chains and the University of Liège developed a multi-criteria decision aiding model that can translate values obtained into a single performance indicator. The approach developed by the authors is demonstrated by means of one of the cases under evaluation in the CREATING project.

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Section: Literature Reviewmentioning

confidence: 99%