Assessment of Livability Indices of Suburban Places of Istanbul by Using Spherical Fuzzy CODAS Method
Spherical Fuzzy Sets (SFSs) are characterized by three degree are a membership degree, a non-membership degree and a hesitancy degree satisfying the condition that the square sum of its membership degree and non-membership degree is equal to or less than
- PDF / 9,293,077 Bytes
- 551 Pages / 453.543 x 683.15 pts Page_size
- 103 Downloads / 147 Views
Cengiz Kahraman Fatma Kutlu Gündoğdu Editors
Decision Making with Spherical Fuzzy Sets Theory and Applications
Studies in Fuzziness and Soft Computing Volume 392
Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Fuzziness and Soft Computing” contains publications on various topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks, evolutionary computation, probabilistic and evidential reasoning, multi-valued logic, and related fields. The publications within “Studies in Fuzziness and Soft Computing” are primarily monographs and edited volumes. They cover significant recent developments in the field, both of a foundational and applicable character. An important feature of the series is its short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results. Indexed by ISI, DBLP and Ulrichs, SCOPUS, Zentralblatt Math, GeoRef, Current Mathematical Publications, IngentaConnect, MetaPress and Springerlink. The books of the series are submitted for indexing to Web of Science.
More information about this series at http://www.springer.com/series/2941
Cengiz Kahraman Fatma Kutlu Gündoğdu •
Editors
Decision Making with Spherical Fuzzy Sets Theory and Applications
123
Editors Cengiz Kahraman Department of Industrial Engineering Faculty of Management Istanbul Technical University Istanbul, Turkey
Fatma Kutlu Gündoğdu Turkish Air Force Academy National Defence University Istanbul, Turkey
ISSN 1434-9922 ISSN 1860-0808 (electronic) Studies in Fuzziness and Soft Computing ISBN 978-3-030-45460-9 ISBN 978-3-030-45461-6 (eBook) https://doi.org/10.1007/978-3-030-45461-6 © Springer Nature Switzerland AG 2021 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, expressed 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 comp
Data Loading...