Overview
- Includes recent research in Uncertainty and Imprecision in Decision Making and Decision Support
- Addresses Cross-fertilization, New Models, and Applications
- Presents selected papers from BOS-2016 (the Fourteenth National Conference of Operational and Systems Research) and IWIFSGN-2016 (Fifteenth International Workshop on Intuitionistic Fuzzy Sets and General Nets), both held on October 12–14, 2016 in Warsaw, Poland
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 559)
Included in the following conference series:
Conference proceedings info: IWIFSGN 2016.
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Table of contents (31 papers)
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Front Matter
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Issues in the Representation and Processing of Uncertain Information
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Front Matter
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Issues in the Representation and Processing of Imprecise Information
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Front Matter
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Novel Tools and Techniques in Modeling, Decision Making and Decision Support: Theory and Applications
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Front Matter
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Other volumes
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Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications
Keywords
About this book
This book presents selected papers from two important conferences held on October 12–14, 2016 in Warsaw, Poland: the Fourteenth National Conference of Operational and Systems Research, BOS-2016, one of the premiere conferences in the field of operational and systems research not only in Poland but also at the European level; and the Fifteenth International Workshop on Intuitionistic Fuzzy Sets and General Nets, IWIFSGN-2016, one of the foremost conferences on fuzzy logic, notably addressing extensions of the traditional fuzzy sets, as well as the Generalized Nets (GNs), a powerful extension of the traditional Petri net paradigm.
The scope of the BOS con
ferences includes all types of problems related to systems modeling, systems analysis, broadly perceived operational research, optimization, decision making, and decision support, to name but a few. In all these areas, virtually all models used have to take into account not only uncertainty in its traditional sense, but also imprecision of information. That is, in addition to traditional probabilistic and statistical tools and techniques, the use of methods based on fuzzy sets can also be sensible. Even more so, employing certain extensions of the classic concept of a fuzzy set can be very useful. Applying intuitionistic fuzzy sets, which are at the core of the IWIFSGN conferences, is a good example. Both conferences, BOS-2016 and IWIFSGN-2016, offered ideal venues for the exchange of ideas, cross-fertilization, and mutual inspiration.Editors and Affiliations
Bibliographic Information
Book Title: Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications
Book Subtitle: Selected Papers from BOS-2016 and IWIFSGN-2016 held on October 12-14, 2016 in Warsaw, Poland
Editors: Krassimir T. Atanassov, Janusz Kacprzyk, Andrzej Kałuszko, Maciej Krawczak, Jan Owsiński, Sotir Sotirov, Evdokia Sotirova, Eulalia Szmidt, … Sławomir Zadrożny
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-65545-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Softcover ISBN: 978-3-319-65544-4Published: 07 October 2017
eBook ISBN: 978-3-319-65545-1Published: 06 October 2017
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XVIII, 350
Number of Illustrations: 116 b/w illustrations