Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management electronic resource by Noorul Hassan Zardari, Kamal Ahmed, Sharif Moniruzzaman Shirazi, Zulkifli Bin Yusop.
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TextSeries: SpringerBriefs in Water Science and TechnologyPublication details: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XI, 166 p. 69 illus., 45 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319125862Subject(s): earth sciences | Environmental management | Hydrogeology | Physical geography | Earth Sciences | Earth System Sciences | Water Policy/Water Governance/Water Management | HydrogeologyDDC classification: 550 LOC classification: GB3-5030Online resources: Click here to access online
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Springer eBooksSummary: This book provides a systematic way of how to make better decisions in water resources management. The applications of three weighting methods namely rating, ranking, and ratio are discussed in this book. Additionally, data mining on keywords is presented using three popular scholarly databases: Science Direct, Scopus, and SciVerse. Four abbreviated keywords (MCDM, MCDA, MCA, MADM) representing multi-criteria decision-making were used and these three databases were searched for different popular weighting methods for a period of 13 years (2000-2012). The book provides also a review of weighting methods applied in various multi-criteria decision-making (MCDM) methods and also presents survey results on priority ranking of watershed management criteria undertaken by 30 undergraduate and postgraduate students from the Faculty of Civil Engineering, Universiti Teknologi Malaysia.
This book provides a systematic way of how to make better decisions in water resources management. The applications of three weighting methods namely rating, ranking, and ratio are discussed in this book. Additionally, data mining on keywords is presented using three popular scholarly databases: Science Direct, Scopus, and SciVerse. Four abbreviated keywords (MCDM, MCDA, MCA, MADM) representing multi-criteria decision-making were used and these three databases were searched for different popular weighting methods for a period of 13 years (2000-2012). The book provides also a review of weighting methods applied in various multi-criteria decision-making (MCDM) methods and also presents survey results on priority ranking of watershed management criteria undertaken by 30 undergraduate and postgraduate students from the Faculty of Civil Engineering, Universiti Teknologi Malaysia.
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