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Stochastic and Statistical Methods in Hydrology and Environmental Engineering pp 221–244Cite as

Fuzzy Multi-Criteria Decision Making Model with Application to the Great Lakes Water Levels Problem

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Part of the book series: Water Science and Technology Library ((WSTL,volume 10/2))

Abstract

A multi-criteria measures evaluation (MCME) instrument based on fuzzy set theory is presented to assist decision makers in dealing with water resource problems. The MCME method improves the efficiency and effectiveness of plan evaluation in a group decision making process. The MCME is applied to the problem of combating high water levels in the Great Lakes-St. Lawrence River Basin. In particular, the fuzzy recognition model is used to group thirty-two measures into several classes based on nine evaluation criteria and survey results from the Measures Evaluation of Phase II of the Levels Reference Study sponsored by the International Joint Commission (LTC) (The Levels Reference Study Board, 1991).

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Author information

Authors and Affiliations

  1. Atmospheric Environment Service, 4905 Dufferin Street, Downsview, Ontario, Canada, M3H 5T4

    Yongyuan Yin

  2. Dept. of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada, N2L 3G1

    Keith W. Hipel

Authors
  1. Yongyuan Yin
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  2. Keith W. Hipel
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Editor information

Editors and Affiliations

  1. Departments of Systems Design Engineering and Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada

    Keith W. Hipel (Professor and Chair) & Liping Fang (Assistant Professor) (Professor and Chair) &  (Assistant Professor)

  2. Department of Mechanical Engineering, Ryerson Polytechnic University, Toronto, Ontario, Canada

    Liping Fang (Assistant Professor) (Assistant Professor)

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© 1994 Springer Science+Business Media Dordrecht

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Yin, Y., Hipel, K.W. (1994). Fuzzy Multi-Criteria Decision Making Model with Application to the Great Lakes Water Levels Problem. In: Hipel, K.W., Fang, L. (eds) Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Water Science and Technology Library, vol 10/2. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3081-5_17

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  • DOI: https://doi.org/10.1007/978-94-017-3081-5_17

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4380-1

  • Online ISBN: 978-94-017-3081-5

  • eBook Packages: Springer Book Archive

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