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Fuzzy multicriterion decision making in irrigation planning

Multicriterion decision making (MCDM) has emerged as an effective methodology due to its ability to combine quantitative and qualitative criteria for selection of the best alternative. Concurrently, fuzzy logic is gaining importance due to its flexibility in handling imprecise subjective data. In th...

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Published in:Irrigation and drainage 2005-10, Vol.54 (4), p.455-465
Main Authors: Raju, K.S, Nagesh Kumar, D
Format: Article
Language:English
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Summary:Multicriterion decision making (MCDM) has emerged as an effective methodology due to its ability to combine quantitative and qualitative criteria for selection of the best alternative. Concurrently, fuzzy logic is gaining importance due to its flexibility in handling imprecise subjective data. In the present study two fuzzy logic‐based MCDM methods, namely similarity analysis (SA) and decision analysis (DA), are adopted and developed as a FUzzy Decision System (FUDS) and applied to a case study of the Sri Ram Sagar Project (SRSP), Andhra Pradesh, India, for selecting the best‐performing irrigation subsystem. It is found that both SA and DA suggested the same irrigation subsystem as the best. It is concluded that application of fuzzy logic methodology for real‐world decision‐making problems is found to be effective. Copyright © 2005 John Wiley & Sons, Ltd. La prise de décision multicritère (MCDM) a émergé comme méthodologie efficace due à sa capacité de combiner des critères quantitatifs et qualitatifs pour le choix de la meilleure alternative. Concurremment, la logique floue gagne l'importance due à sa flexibilité en manipulant des données subjectives imprécises. Dans la présente étude deux méthodes de MCDM basées̀, dans la logique floue, à savoir, l'analyse de similitude (SA) et l'analyse de décision (DA), sont adoptées et développées comme système brouillé de décision (FUDS) et appliquées à une étude de cas du projet de Sagar de Ram de Sri (SRSP), Andhra Pradesh, Inde, pour choisir le meilleur sous‐système d'exécution d'irrigation. On constate que SA et DA ont suggéré le même sous‐système d'irrigation comme le meilleur. On conclut que l'application de la méthodologie de logique floue pour le problème réel de prise de décision du monde s'avère efficace. Copyright © 2005 John Wiley & Sons, Ltd.
ISSN:1531-0353
1531-0361
DOI:10.1002/ird.197