Hesitant Fuzzy Decision Making Methodologies and Applications
This book offers a comprehensive and systematic introduction to the latest research on hesitant fuzzy decision-making theory. It includes six parts: the hesitant fuzzy set and its extensions, novel hesitant fuzzy measures, hesitant fuzzy hybrid weighted a
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Huchang Liao Zeshui Xu
Hesitant Fuzzy Decision Making Methodologies and Applications
Uncertainty and Operations Research Editor-in-chief Xiang Li, Beijing University of Chemical Technology, Beijing, China
Decision analysis based on uncertain data is natural in many real-world applications, and sometimes such an analysis is inevitable. In the past years, researchers have proposed many efficient operations research models and methods, which have been widely applied to real-life problems, such as finance, management, manufacturing, supply chain, transportation, among others. This book series aims to provide a global forum for advancing the analysis, understanding, development, and practice of uncertainty theory and operations research for solving economic, engineering, management, and social problems.
More information about this series at http://www.springer.com/series/11709
Huchang Liao Zeshui Xu •
Hesitant Fuzzy Decision Making Methodologies and Applications
123
Huchang Liao Business School Sichuan University Chengdu, Sichuan China
Zeshui Xu Business School Sichuan University Chengdu, Sichuan China
ISSN 2195-996X ISSN 2195-9978 (electronic) Uncertainty and Operations Research ISBN 978-981-10-3264-6 ISBN 978-981-10-3265-3 (eBook) DOI 10.1007/978-981-10-3265-3 Library of Congress Control Number: 2016958709 © Springer Nature Singapore Pte Ltd. 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #22-06/08 Gateway East, Singapore 189721, Singapore
Preface
Decision making always happens in our daily life, for example, choosing a car to buy, or selecting an electronic product from Amazon or Ebay. In the traditional multiple criteria decision making models, all evaluation values are precise, which is too ideal to match our daily life. To make it more applicable and efficient, the de
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