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Flow Graphs and Decision Algorithms Read chapter Read first chapter

2003 | OriginalPaper | Chapter

Consensus versus Conflicts — Methodology and Applications

Authors : Ngoc Thanh Nguyen, Janusz Sobecki

Published in: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Publisher: Springer Berlin Heidelberg

Included in: Professional Book Archive

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This paper is dedicated to applications of consensus methods in solving conflicts defined by Pawlak [12, 13]. The most characteristic feature of consensus methods surveyed in this paper is that the structures of opinions of conflict participants are multi-value and multi-attribute and the basis of consensus determining consists of distance functions between tuples. In this work an overview of consensus methods and their applications in the scope of conflict solving is presented.

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Metadata
Title
Consensus versus Conflicts — Methodology and Applications
Authors
Ngoc Thanh Nguyen
Janusz Sobecki
Copyright Year
2003
Publisher
Springer Berlin Heidelberg
Book
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Print ISBN: 978-3-540-14040-5

Electronic ISBN: 978-3-540-39205-7

Copyright Year: 2003

DOI
https://doi.org/10.1007/3-540-39205-X_92