This book provides the readers with a thorough and systematic
introduction to hesitant fuzzy theory. It presents the most recent
research results and advanced methods in the field. These includes:
hesitant fuzzy aggregation techniques, hesitant fuzzy preference
relations, hesitant fuzzy measures, hesitant fuzzy clustering
algorithms and hesitant fuzzy multi-attribute decision making
methods. Since its introduction by Torra and Narukawa in 2009,
hesitant fuzzy sets have become more and more popular and have been
used for a wide range of applications, from decision-making
problems to cluster analysis, from medical diagnosis to personnel
appraisal and information retrieval. This book offers a
comprehensive report on the state-of-the-art in hesitant fuzzy sets
theory and applications, aiming at becoming a reference guide for
both researchers and practitioners in the area of fuzzy mathematics
and other applied research fields (e.g. operations research,
information science, management science and engineering)
characterized by uncertain ("hesitant") information. Because of its
clarity and self contained explanations, the book can also be
adopted as a textbook from graduate and advanced undergraduate
students.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
Studies in Fuzziness and Soft Computing, 314 |
Release date: |
August 2016 |
First published: |
2014 |
Authors: |
Zeshui Xu
|
Dimensions: |
235 x 155 x 24mm (L x W x T) |
Format: |
Paperback
|
Pages: |
466 |
Edition: |
Softcover reprint of the original 1st ed. 2014 |
ISBN-13: |
978-3-319-35809-3 |
Categories: |
Books >
Business & Economics >
General
Books >
Computing & IT >
General
|
LSN: |
3-319-35809-X |
Barcode: |
9783319358093 |
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