Overview
- Offers a comprehensive investigation of research in dealing with TOPSIS
- Presents a wealth of variations of TOPSIS and its application to real-world problems
- Solves and compares numerical examples throughout
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 447)
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Table of contents (9 chapters)
Keywords
- TOPSIS
- MCDM (Multi-Criteria Decision Making)
- Decision making
- Alternative (variant)
- Criteria (attribute)
- Distance function
- Normalization
- Weight
- Separation measure
- Relative closeness
- Rank reversal
- Ranking
- Selection (choice, decision)
- Sorting
- Grouping
- Classification
- Clustering
- Criteria dependence/independence
- Non-dominated (efficient) solution
- Mahalanobis distance
About this book
The objective of the book is to provide materials to demonstrate the development of TOPSIS and to serve as a handbook. It contains the basic process of TOPSIS, numerous variant processes, property explanations, theoretical developments, and illustrative examples with real-world cases. Possible readers would be graduate students, researchers, analysts, and professionals who are interested in TOPSIS, a distance-based algorithm, and who would like to compare TOPSIS with other MCDM methods. The book serves as a research reference as well as a self-learning book with step-by-step illustrations for the MCDM community.
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: TOPSIS and its Extensions: A Distance-Based MCDM Approach
Authors: Hsu-Shih Shih, David L. Olson
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-031-09577-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-09576-4Published: 08 September 2022
Softcover ISBN: 978-3-031-09579-5Published: 09 September 2023
eBook ISBN: 978-3-031-09577-1Published: 07 September 2022
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XV, 221
Number of Illustrations: 1 b/w illustrations, 14 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence