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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, 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 method's implementation in various fields Provides a detailed yet concise description of each method's theoretical foundation Maps each method's 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.
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.

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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

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Bozorg‐Haddad, Zolghadr‐Asli, and Loáiciga • A Handbook on Multi‐Attribute Decision‐Making Methods

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A Handbook on Multi‐Attribute Decision‐Making Methods

Omid Bozorg‐Haddad

University of Tehran

Alborz, Iran

Babak Zolghadr‐Asli

University of Tehran

Alborz, Iran

Hugo A. Loáiciga

University of California

Santa Barbara, United States

This edition first published 2021 2021 John Wiley and Sons Inc All rights - фото 1

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 Bozorg‐Haddad, Babak Zolghadr‐Asli, and Hugo A. Loáiciga to be identified as the authors of this work has been asserted in accordance with law.

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Library of Congress Cataloging‐in‐Publication Data

Names: Bozorg-Haddad, Omid, 1974‐ author. | Zolghadr‐Asli, Babak, author. |

Loáiciga, Hugo A., author.

Title: A handbook on multi‐attribute decision‐making methods / Omid

Bozorg‐Haddad, Babak Zolghadr‐Asli, Hugo A. Loáiciga.

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

658.4/03–dc23

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

Preface

Multi‐attribute decision‐making (MADM) problems describe a situation in which the decision‐makers evaluate a finite number of pre‐defined 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 decision‐making problems on a daily basis. Although there are numerous MADM methods at the decision‐makers’ disposal to cope with real‐world decision‐making 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.

The book at hand fills the cited knowledge and educational gap and describes the most important MADM methods, with an assessment of their performance in solving multiple problems encompassing many fields of inquiry and practice in a clear and systematic manner. The proposed book contains 12 chapters plus two appendices. Chapter 1provides an overview of the decision‐making and its fundamental concepts. Each of chapters 2through 12 is devoted to a separate MADM method. In total, some 20 MADM methods are presented in the book. Appendix I describes a weight assignment method; Appendix II contains an application of MADM methods. The chapters are arranged based on pedagogical purposes so that the audience can easily engage with the presented materials in each given chapter. Nevertheless, the basic idea is to ensure that each chapter can stand alone by providing the audience with a brief description of the materials and methods required to cover every aspect and mathematical concepts used in each given method. In other words, while a highly engaged audience can go through the entire book to gain a deep understanding of MADM methods and their theoretical foundation, some can aim at a specific chapter without facing any difficulty in understanding the materials presented for the reviewed MADM methods. In essence, each chapter describing a specific MADM method, or in some case a family of methods, starts with a brief literature review of the methods’ development followed by a description of its theoretical origins. The philosophical foundations of each method are discussed and mapped to the mathematical framework of the specified MADM method. Each chapter contains a stepwise description of its pertinent method that serves as the guideline for implementing the method with the purpose of coping with real‐world MADM problems.

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