Uncertain Fuzzy Preference Relations and Their Applications, Zaiwu Gong; Yi Lin; Tianxiang Yao

Автор: Atanu Sengupta; Tapan Kumar Pal
Название: Fuzzy Preference Ordering of Interval Numbers in Decision Problems
ISBN: 3642100600 ISBN-13(EAN): 9783642100604
Издательство: Springer
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Описание: This text studies different real decision situations where problems are defined in inexact environment. It presents the latest research in fuzzy preference ordering of interval numbers and modeling of interval decision problems.

Автор: Rafik Aziz Aliev; Babek Ghalib Guirimov
Название: Type-2 Fuzzy Neural Networks and Their Applications
ISBN: 3319381598 ISBN-13(EAN): 9783319381596
Издательство: Springer
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Описание: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing.

Автор: Antonio Di Nola; S. Sessa; Witold Pedrycz; E. Sanc
Название: Fuzzy Relation Equations and Their Applications to Knowledge Engineering
ISBN: 0792303075 ISBN-13(EAN): 9780792303077
Издательство: Springer
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Автор: Marc Roubens
Название: Non-Conventional Preference Relations in Decision Making
ISBN: 3540189548 ISBN-13(EAN): 9783540189541
Издательство: Springer
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Описание: Bernard ROY Professor, University of Paris-Dauphine Director of LAMSADE 11 is not unusual for a dozen or so loosely related working papers to be published in book form as the natural outgrowth of a scientific gathering. Although many a volu- me of collected papers has come into point in this way, the homogeneity of the arti- cles included will often be more apparent than real. As the reader will quickly ob- serve, such is not the case with the present volume. As one can judge from its ti- tle, 1t is in fact an outcome of an ed torial project by J. Kacprzyk and M. Roubens. T ey asked contributing authors to submit recent works which would examine. within a non-traditional theoretical framework, preference analysis and preference modeliing 1n a fuzzy context oriented towards decision aid. The articles by J.P. Ooignon, B. Monjardet, T. Tanino and Ph. Vincke empnasize the analysis of oreference structures, mainly in the presence of incomparability. In- transitivlty, thresholds and, more generally, inaccurate determination. Considera- ble attention is devoted to the analysis of efficient and non-dominated (in Pareto's sense of the term) decisions in the four papers presented by S. Ovchinnikov and M.

Автор: Steven Brams; William V. Gehrlein; Fred S. Roberts
Название: The Mathematics of Preference, Choice and Order
ISBN: 3642098002 ISBN-13(EAN): 9783642098000
Издательство: Springer
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Описание: This volume honors the many contributions of Peter Fishburn in the mathematical aspects of various fields in social sciences. It provides both expository and new papers from leading figures in each of the areas of Fishburn`s research.

Автор: J.C. Fodor; M.R. Roubens
Название: Fuzzy Preference Modelling and Multicriteria Decision Support
ISBN: 0792331168 ISBN-13(EAN): 9780792331162
Издательство: Springer
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Описание: Provides coverage of the important results about fuzzy logic including negations, conjunctions, disjunctions, implications and gives the interrelations between those different connectives. This work brings together multiple results about valued binary relations satisfying diverse transitivity-type conditions.

Автор: Rafik Aziz Aliev; Babek Ghalib Guirimov
Название: Type-2 Fuzzy Neural Networks and Their Applications
ISBN: 3319090712 ISBN-13(EAN): 9783319090719
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing.

Автор: Cherifi
Название: Complex Networks & Their Applications V
ISBN: 3319509004 ISBN-13(EAN): 9783319509006
Издательство: Springer
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Описание: This book highlights cutting-edge research in the field of network science, offering scientists, researchers and graduate students a unique opportunity to catch up on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the fifth International Workshop on Complex Networks & their Applications (COMPLEX NETWORKS 2016), which took place in Milan during the last week of November 2016. The carefully selected papers are divided into 11 sections reflecting the diversity and richness of research areas in the field. More specifically, the following topics are covered: Network models; Network measures; Community structure; Network dynamics; Diffusion, epidemics and spreading processes; Resilience and control; Network visualization; Social and political networks; Networks in finance and economics; Biological and ecological networks; and Network analysis.