Image from Google Jackets
Image from OpenLibrary
See Baker & Taylor
Image from Baker & Taylor

Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management / by Noorul Hassan Zardari, Kamal Ahmed, Sharif Moniruzzaman Shirazi, Zulkifli Bin Yusop.

By: Contributor(s): Material type: TextEdition: 1st ed. 2015Description: 1 online resource (XI, 166 pages 69 illustrations, 45 illustrations in color.)ISBN:
  • 9783319125862
Subject(s): DDC classification:
  • 550
Summary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Barcode
Books Main LIbrary GB5030.Z2 2015 (Browse shelf(Opens below)) Available 2025-214972
Books Main LIbrary GB5030.Z2 2015 (Browse shelf(Opens below)) Available 2025-214973

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.

There are no comments on this title.

to post a comment.