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Decision Theory Based Monitoring Design for Freshwater Ecosystems

dc.contributor.authorLuther, Bernhard
dc.contributor.authorGnauck, Albrecht
dc.contributor.editorMoeller, Andreas
dc.contributor.editorPage, Bernd
dc.contributor.editorSchreiber, Martin
dc.date.accessioned2019-09-16T03:16:12Z
dc.date.available2019-09-16T03:16:12Z
dc.date.issued2008
dc.description.abstractAn environmental monitoring design in general and a freshwater monitoring system in special focus on important variables of an ecosystem which give a decision maker the possibility to select different types of actions from the domain of decision. In this sense, a decision model is divided into the part of the decision maker and its environment. The preferences of the decision maker are modelled by preference structures. They cover outranking methods as well as methods of multi-attribute utility theory. Additionally, the decision maker’s indifferences have to be gained by setting up threshold values or more advanced methods like automatic classification and fuzzy logic. In this paper the water quality status of the Spree-Havel waterway is compared using different methods based on decision theory in order to find out sampling points with the highest level of environmental information. It can be stated that the suitability of these methods depend on the desired information content. On the one hand, a set of sampling points can be well-arranged in transitive relations like rankings or Hasse diagrams. On the other hand, pair wise comparisons may be helpful which are obtained by ELECTRE I.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol119/0526.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/26397
dc.publisherShaker Verlag
dc.relation.ispartofEnvironmental Informatics and Industrial Ecology
dc.relation.ispartofseriesEnviroInfo
dc.titleDecision Theory Based Monitoring Design for Freshwater Ecosystemsde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date2008
gi.conference.locationLüneburg
gi.conference.sessiontitleEnvironmental Management Information Systems (EMIS)

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