Application of the Concept of Partial Order on Comparative Evaluation of Environmental Chemicals

Brüggemann, R.; Bücherl, C.; Pudenz, Stefan; Steinberg, Christian E. W.

doi:10.1002/(sici)1521-401x(199905)27:3<170::aid-aheh170>3.0.co;2-9

Cited by 59 publications

(12 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…in Merz andBuck (1999), DTLR (2001) and Omann (2004). Others set their focus on one approach, like Keeney and Raiffa (1993) on the MAUT approach, Drechsler (1999; see also Klauer et al 2006) on extensions of the PROMETHEE approach, or on the Hasse-Diagramm technique (Brüggemann et al 1999;Pudenz et al 2000;Simon 2003;Soerensen et al 2004).…”

Section: Introductionmentioning

confidence: 99%

A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany

2008

View full text Add to dashboard Cite

In this paper we develop a GIS-based multicriteria flood risk assessment and mapping approach. This approach includes flood risks which are not measured in monetary terms; it shows the spatial distribution of multiple risks, and it is able to deal with uncertainties in criteria values and to show their influence on the overall flood risk assessment. Additionally, the approach can be used to show the spatial allocation of the flood effects if risk reduction measures are implemented. The approach is applied to a pilot study for the River Mulde in Saxony, Germany, heavily affected by the hazardous flood in 2002. Therefore, a GIS database of economic, social and environmental risk criteria was created. Two different multicriteria decision rules, a disjunctive and an additive weighting approach, are utilised for an overall flood risk assessment in the area. For implementation, a software tool (FloodCalc) was developed supporting both, the risk calculation of the single criteria as well as the multicriteria analysis.

show abstract

Section: Introductionmentioning

confidence: 99%

A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany

2008

View full text Add to dashboard Cite

show abstract

“…If all the descriptors for A are equal to the corresponding descriptors for B, the two compounds will have identical order (rank) and will be considered as equivalent rather than identical belonging to the same equivalence class. In consequence, the binary relation is called a quasi order [39]. If Equation 5.3 is false, then both A and B are incomparable (denoted as ||) and cannot be assigned a mutual order.…”

Section: Principles Of Ranking Methodsmentioning

confidence: 99%

“…A necessary previous step before ranking a series of substances is to ensure that all the descriptors involved exhibit identical high-low orientation in their numerical values. Both the ranking of the compounds and the HD can be obtained applying the Whasse software [39,48].…”

Section: Principles Of Ranking Methodsmentioning

confidence: 99%

Partial‐Order Ranking and Linear Modeling: Their Use in Predictive QSAR/QSPR Studies

Mercader

Castro

2012

Statistical Modelling of Molecular Descriptors in QSAR/QSPR

View full text Add to dashboard Cite

“…METEOR is based on partial order theory, namely the Hasse diagram technique (HDT), details in [23][24][25]. Evaluation is done by a simple f comparison of values within every single indicator, however with respect to all indicators simultaneously.…”

Section: Brief Basic Introductionmentioning

confidence: 99%

“…Not connected scenarios, especially the horizontal structure reveals internal conflicts of the evaluation matrix causing incomparabilities among options. Such conflicts can be automatically analysed by the antagonistic indicators tool of the most widespread software program WHASSE [25], free for non-commercial purposes.…”

Section: Brief Basic Introductionmentioning

confidence: 99%

METEOR: a step‐by‐step procedure to explore effects of indicator aggregation in multi criteria decision aiding – application to water management in Berlin, Germany

Simon¹,

Brüggemann

Behrendt

et al. 2006

Acta hydrochim. hydrobiol.

View full text Add to dashboard Cite

METEOR (METhod of Evaluation by ORder) is introduced as a new evaluation approach, based on partial order theory. METEOR combines transparent decision support and convenient tools for data analysis with the ability to include stakeholders' preferences in the decision process. The basic idea is a systematic step-by-step aggregation of indicators, including their weighting. We applied METEOR to evaluate the eco-hydrological effects of nine water management strategies upon the complex surface water system of Berlin and Potsdam, Germany. Altogether 14 river sections are defined, each of which is evaluated by a set of four hydro-chemical indicators. Aggregation of indicators was performed on two levels: spatially with respect to the river sections, and thematically to the four indicators themselves. The METEOR result is in good agreement with that obtained by the PROMETHEE approach. However, advantages of METEOR are (1) identification of sensitive steps of indicator aggregation, and (2) extraction of explanatory background information about advantages and disadvantages of scenarios. Both topics enhance the transparency of the evaluation process and thus support public acceptance of the decision.

show abstract

Application of the Concept of Partial Order on Comparative Evaluation of Environmental Chemicals

Cited by 59 publications

References 30 publications

A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany

A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany

Partial‐Order Ranking and Linear Modeling: Their Use in Predictive QSAR/QSPR Studies

METEOR: a step‐by‐step procedure to explore effects of indicator aggregation in multi criteria decision aiding – application to water management in Berlin, Germany

Contact Info

Product

Resources

About