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

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

Water Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

21 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 language	English
Title of host publication	3rd International Congress on Environmental Modelling and Software 2006
Editors	A. Voinov, A. Jakeman, A. Rizolli
Publisher	International Environmental Modelling and Software Society (iEMSs)
Number of pages	6
ISBN (Print)	1-4243-0852-6
Publication status	Published - 9 Jul 2006
Event	3rd International Congress on Environmental Modelling and Software 2006: Summit on Environmental Modelling and Software - Burlington, United States Duration: 9 Jul 2006 → 13 Jul 2006 Conference number: 3 https://scholarsarchive.byu.edu/iemssconference/2006/

Conference

Conference	3rd International Congress on Environmental Modelling and Software 2006
Abbreviated title	iEMSs 2006
Country/Territory	United States
City	Burlington
Period	9/07/06 → 13/07/06
Internet address	https://scholarsarchive.byu.edu/iemssconference/2006/

Keywords

METIS-227102

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https://scholarsarchive.byu.edu/iemssconference/2006/all/166/

Cite this

Janssen, J. A. E. B., de Kok, J. L., Hoekstra, A. Y., & Schielen, R. M. J. (2006). Incorporating qualitative indicators to support river managers: Application of fuzzy sets. In A. Voinov, A. Jakeman, & A. Rizolli (Eds.), 3rd International Congress on Environmental Modelling and Software 2006 International Environmental Modelling and Software Society (iEMSs). https://scholarsarchive.byu.edu/iemssconference/2006/all/166/

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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.",

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author = "J.A.E.B. Janssen and {de Kok}, J.L. and A.Y. Hoekstra and R.M.J. Schielen",

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note = "3rd International Congress on Environmental Modelling and Software 2006 : Summit on Environmental Modelling and Software, iEMSs 2006 ; Conference date: 09-07-2006 Through 13-07-2006",

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Janssen, JAEB, de Kok, JL, Hoekstra, AY & Schielen, RMJ 2006, Incorporating qualitative indicators to support river managers: Application of fuzzy sets. in A Voinov, A Jakeman & A Rizolli (eds), 3rd International Congress on Environmental Modelling and Software 2006. International Environmental Modelling and Software Society (iEMSs), 3rd International Congress on Environmental Modelling and Software 2006, Burlington, Vermont, United States, 9/07/06. <https://scholarsarchive.byu.edu/iemssconference/2006/all/166/>

Incorporating qualitative indicators to support river managers : Application of fuzzy sets. / Janssen, J.A.E.B.; de Kok, J.L.; Hoekstra, A.Y. et al.

3rd International Congress on Environmental Modelling and Software 2006. ed. / A. Voinov; A. Jakeman; A. Rizolli. International Environmental Modelling and Software Society (iEMSs), 2006.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Incorporating qualitative indicators to support river managers

T2 - 3rd International Congress on Environmental Modelling and Software 2006

AU - Janssen, J.A.E.B.

AU - de Kok, J.L.

AU - Hoekstra, A.Y.

AU - Schielen, R.M.J.

N1 - Conference code: 3

PY - 2006/7/9

Y1 - 2006/7/9

N2 - 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.

AB - 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.

KW - METIS-227102

M3 - Conference contribution

SN - 1-4243-0852-6

BT - 3rd International Congress on Environmental Modelling and Software 2006

A2 - Voinov, A.

A2 - Jakeman, A.

A2 - Rizolli, A.

PB - International Environmental Modelling and Software Society (iEMSs)

Y2 - 9 July 2006 through 13 July 2006

ER -

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

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