Applying Fuzzy Logic for the Digital Economy and Society
This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others. Presenting the l
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Andreas Meier Edy Portmann Luis Terán Editors
Applying Fuzzy Logic for the Digital Economy and Society
Fuzzy Management Methods Series Editors Andreas Meier, Fribourg, Switzerland Witold Pedrycz, Edmonton, Canada Edy Portmann, Bern, Switzerland
More information about this series at http://www.springer.com/series/11223
Andreas Meier • Edy Portmann • Luis Terán Editors
Applying Fuzzy Logic for the Digital Economy and Society
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Editors Andreas Meier Department of Informatics University of Fribourg Fribourg, Switzerland
Edy Portmann Human-IST Institute University of Fribourg Fribourg, Switzerland
Luis Terán Department of Computer Science Universidad de las Fuerzas Armadas (ESPE) Sangolquí, Ecuador Department of Informatics University of Fribourg Fribourg, Switzerland
ISSN 2196-4130 ISSN 2196-4149 (electronic) Fuzzy Management Methods ISBN 978-3-030-03367-5 ISBN 978-3-030-03368-2 (eBook) https://doi.org/10.1007/978-3-030-03368-2 Library of Congress Control Number: 2019931371 © Springer Nature Switzerland AG 2019 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
With today’s information overload, it has become increasingly difficult to analyze the huge amounts of data and to generate appropriate management decisions. Furthermore, the data are often imprecise and will include both quantitative and qualitative elements. For these reasons, it is important to extend traditional decision-making processes by adding intuitive reasoning, human subjectivity, and imprecision. In the age of big data, decision-making processes for economy and society have to deal with uncertainty, vagueness, and imprecision. Besides volume, variety, and velocity, two others V’s for veracity and value hav
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