Authors:
- Provides an overview of the latest theories of pairwise comparisons in decision making
- Examines the pairwise comparisons methods under probabilistic, fuzzy and interval uncertainty
- Applies pairwise comparisons methods in decision-making methods
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 690)
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Table of contents (7 chapters)
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Front Matter
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Pairwise Comparisons Method—Theory
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Front Matter
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Pairwise Comparisons Method—Applications in Decision Making
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Front Matter
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Back Matter
About this book
This book examines relationships between pairwise comparisons matrices. It first provides an overview of the latest theories of pairwise comparisons in decision making, discussing the pairwise comparison matrix, a fundamental tool for further investigation, as a deterministic matrix with given elements. Subsequent chapters then investigate these matrices under uncertainty, as a matrix with vague elements (fuzzy and/or intuitionistic fuzzy ones), and also as random elements. The second part of the book describes the application of the theoretical results in the three most popular multicriteria decision-making methods: the Analytic Hierarchy Process (AHP), PROMETHEE and TOPSIS. This book appeals to scholars in areas such as decision theory, operations research, optimization theory, algebra, interval analysis and fuzzy sets.
Authors and Affiliations
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School Business Administration, Silesian University in Opava, Karvina, Czech Republic
Jaroslav Ramík
About the author
Bibliographic Information
Book Title: Pairwise Comparisons Method
Book Subtitle: Theory and Applications in Decision Making
Authors: Jaroslav Ramík
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-030-39891-0
Publisher: Springer Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-39890-3Published: 25 February 2020
eBook ISBN: 978-3-030-39891-0Published: 24 February 2020
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XVIII, 231
Number of Illustrations: 10 b/w illustrations, 12 illustrations in colour
Topics: Game Theory, Operations Research/Decision Theory, Game Theory, Economics, Social and Behav. Sciences, Mathematical Applications in Computer Science, Operations Research, Management Science