Incorporating qualitative indicators to support river managers: Application of fuzzy sets

J.A.E.B. Janssen, J.L. de Kok, A.Y. Hoekstra, R.M.J. Schielen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
13 Downloads (Pure)

Abstract

In evaluation of river management strategies it is generally difficult to deal with the loosely structured and uncertain information at hand. Due to the increasing number of interests and objectives involved in river management it becomes more important to find a way to deal with such information. This paper explores to what extent fuzzy set theory can help in the modelling of relations between river management measures and their effects. The authors conclude that fuzzy logic can provide a valuable contribution because of the relative transparency of the method, the possibility to include qualitative knowledge and the incorporation of uncertainty. Particularly the latter requires further study before a broad application in river management is feasible.
Original languageEnglish
Title of host publication3rd International Congress on Environmental Modelling and Software 2006
EditorsA. Voinov, A. Jakeman, A. Rizolli
PublisherInternational Environmental Modelling and Software Society (iEMSs)
Number of pages6
ISBN (Print)1-4243-0852-6
Publication statusPublished - 9 Jul 2006
Event3rd International Congress on Environmental Modelling and Software 2006: Summit on Environmental Modelling and Software - Burlington, United States
Duration: 9 Jul 200613 Jul 2006
Conference number: 3
https://scholarsarchive.byu.edu/iemssconference/2006/

Conference

Conference3rd International Congress on Environmental Modelling and Software 2006
Abbreviated titleiEMSs 2006
CountryUnited States
CityBurlington
Period9/07/0613/07/06
Internet address

Keywords

  • METIS-227102

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