Babak Zolghadr-Asli - A Handbook on Multi-Attribute Decision-Making Methods
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Clear and effective instruction on MADM methods for students, researchers, and practitioners.
A Handbook on Multi-Attribute Decision-Making Methods describes multi-attribute decision-making (MADM) methods and provides step-by-step guidelines for applying them. The authors describe the most important MADM methods and provide an assessment of their performance in solving problems across disciplines. After offering an overview of decision-making and its fundamental concepts, this book covers 20 leading MADM methods and contains an appendix on weight assignment methods. Chapters are arranged with optimal learning in mind, so you can easily engage with the content found in each chapter. Dedicated readers may go through the entire book to gain a deep understanding of MADM methods and their theoretical foundation, and others may choose to review only specific chapters. Each standalone chapter contains a brief description of prerequisite materials, methods, and mathematical concepts needed to cover its content, so you will not face any difficulty understanding single chapters. Each chapter:
- Describes, step-by-step, a specific MADM method, or in some cases a family of methods
- Contains a thorough literature review for each MADM method, supported with numerous examples of the methods implementation in various fields
- Provides a detailed yet concise description of each methods theoretical foundation
- Maps each methods philosophical basis to its corresponding mathematical framework
- Demonstrates how to implement each MADM method to real-world problems in a variety of disciplines
In MADM methods, stakeholders objectives are expressible through a set of often conflicting criteria, making this family of decision-making approaches relevant to a wide range of situations. A Handbook on Multi-Attribute Decision-Making Methods compiles and explains the most important methodologies in a clear and systematic manner, perfect for students and professionals whose work involves operations research and decision making.
Babak Zolghadr-Asli: author's other books
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- Chapter 1
- Chapter 3
- Chapter 4
- Chapter 5
- Chapter 8
- Chapter 9
- Chapter 10
- Appendix B
- Chapter 3
- Chapter 4
- Chapter 7
Operations Research and Management Science (ORMS) is a broad, interdisciplinary branch of applied mathematics concerned with improving the quality of decisions and processes and is a major component of the global modern movement toward the use of advanced analytics in industry and scientific research. The Wiley Series in Operations Research and Management Science features a broad collection of books that meet the varied needs of researchers, practitioners, policy makers, and students who use or need to improve their use of analytics. Reflecting the wide range of current research within the ORMS community, the Series encompasses application, methodology, and theory and provides coverage of both classical and cutting edge ORMS concepts and developments. Written by recognized international experts in the field, this collection is appropriate for students as well as professionals from private and public sectors including industry, government, and nonprofit organization who are interested in ORMS at a technical level. The Series is comprised of four sections: Analytics; Decision and Risk Analysis; Optimization Models; and Stochastic Models.
Advisory EditorsDecision and Risk Analysis
Gilberto Montibeller, London School of Economics
Gregory S. Parnell, United States Military Academy at West Point
Founding Series Editor
James J. Cochran, University of Alabama
Analytics
Yang and Lee Healthcare Analytics: From Data to Knowledge to Healthcare Improvement
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AttohOkine Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering
Kong and Zhang Decision Analytics and Optimization in Disease Prevention and Treatment
Decision and Risk Analysis
Barron Game Theory: An Introduction, Second Edition
BozorgHaddad, ZolghadrAsli, and Loiciga A Handbook on MultiAttribute DecisionMaking Methods
Brailsford, Churilov, and Dangerfield DiscreteEvent Simulation and System Dynamics for Management Decision Making
Johnson, Keisler, Solak, Turcotte, Bayram, and Drew Decision Science for Housing and Community Development: Localized and EvidenceBased Responses to Distressed Housing and Blighted Communities
Mislick and Nussbaum Cost Estimation: Methods and Tools
Forthcoming Titles
Aleman and Carter Healthcare Engineering
Optimization Models
Ghiani, Laporte, and Musmanno Introduction to Logistics Systems Management, Second Edition
Forthcoming Titles
Smith Learning Operations Research Through Puzzles and Games
Tone Advances in DEA Theory and Applications: With Examples in Forecasting Models
Stochastic Models
Ibe Random Walk and Diffusion Processes
Forthcoming Titles
Donohue, Katok, and Leider The Handbook of Behavioral Operations
Matis Applied Markov Based Modelling of Random Processes
Omid BozorgHaddad
University of Tehran
Alborz, Iran
Babak ZolghadrAsli
University of Tehran
Alborz, Iran
Hugo A. Loiciga
University of California
Santa Barbara, United States
This edition first published 2021
2021 John Wiley and Sons, Inc.
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.
The right of Omid BozorgHaddad, Babak ZolghadrAsli, and Hugo A. Loiciga to be identified as the authors of this work has been asserted in accordance with law.
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Library of Congress CataloginginPublication Data
Names: Bozorg-Haddad, Omid, 1974 author. | ZolghadrAsli, Babak, author. |
Loiciga, Hugo A., author.
Title: A handbook on multiattribute decisionmaking methods / Omid
BozorgHaddad, Babak ZolghadrAsli, Hugo A. Loiciga.
Description: Hoboken, NJ : Wiley, 2021. | Series: Wiley series in
operations research and management science | Includes bibliographical
references and index.
Identifiers: LCCN 2020034049 (print) | LCCN 2020034050 (ebook) | ISBN
9781119563495 (cloth) | ISBN 9781119563471 (adobe pdf) | ISBN
9781119563389 (epub) | ISBN 9781119563501 (obook)
Subjects: LCSH: Multiple criteria decision making.
Classification: LCC T57.95 .B69 2021 (print) | LCC T57.95 (ebook) | DDC
658.4/03dc23
LC record available at https://lccn.loc.gov/2020034049
LC ebook record available at https://lccn.loc.gov/2020034050
Cover Design: Wiley
Cover Image: connel/Shutterstock
Multiattribute decisionmaking (MADM) problems describe a situation in which the decisionmakers evaluate a finite number of predefined alternatives that are explicitly known at the beginning of the solution process with regard to a set of often conflictive evaluating criteria. It would not be an exaggeration to state that almost everyone, whether in their personal or professional life, faces decisionmaking problems on a daily basis. Although there are numerous MADM methods at the decisionmakers disposal to cope with realworld decisionmaking problems there is still lacking a source that compiles and explains the various MADM methods in a clear and systematic manner that would make their understanding, comparison, and application straightforward for those who require implementing these techniques. Most existing sources that deal with MADM methods are generally focused on results of the applications of these methods, but overlook basic and unifying concepts. Therefore, those who are eager to gain an overview of these methods must endure hardships of searching through various sources which are written in specialized form and are difficult to understand.
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