Advances in Fuzzy Decision Making, Iwona Skalna; Bogdan R?biasz; Bart?omiej Gawe?; Be

Автор: Iwona Skalna; Bogdan R?biasz; Bart?omiej Gawe?; Be
Название: Advances in Fuzzy Decision Making
ISBN: 3319264923 ISBN-13(EAN): 9783319264929
Издательство: Springer
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Цена: 104480.00 T
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Описание: Thisbook shows how common operation management methods and algorithms can beextended to deal with vague or imprecise information in decision-makingproblems.

Автор: Mohammed Abdellaoui; John D. Hey
Название: Advances in Decision Making Under Risk and Uncertainty
ISBN: 3642088007 ISBN-13(EAN): 9783642088001
Издательство: Springer
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Цена: 139750.00 T
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Описание: Uncertainty and Information Modeling.- Revealed Ambiguity and Its Consequences: Updating.- Dynamic Decision Making When Risk Perception Depends on Past Experience.- Representation of Conditional Preferences Under Uncertainty.- Subjective Information in Decision Making and Communication.- Risk Modeling.- Sensitivity Analysis in Decision Making: A Consistent Approach.- Alternation Bias and the Parameterization of Cumulative Prospect Theory.- Proposing a Normative Basis for the S-Shaped Value Function.- Experimental Individual Decision Making.- Individual Choice from a Convex Lottery Set: Experimental Evidence.- Temptations and Dynamic Consistency.- Monty Hall's Three Doors for Dummies.- Overconfidence in Predictions as an Effect of Desirability Bias.- Experimental Interactive Decision Making.- Granny Versus Game Theorist: Ambiguity in Experimental Games.- Guessing Games and People Behaviours: What Can We Learn?.- The Determinants of Individual Behaviour in Network Formation: Some Experimental Evidence.

Автор: Elisabeth Rakus-Andersson; Ronald R. Yager; Nikhil
Название: Recent Advances in Decision Making
ISBN: 3642021867 ISBN-13(EAN): 9783642021862
Издательство: Springer
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Цена: 158380.00 T
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Описание: Intelligent paradigms are increasing finding their ways in the design and development of decision support systems. This book presents a sample of the research results from key researchers. It is suitable for researchers, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.

Автор: Elisabeth Rakus-Andersson; Ronald R. Yager; Nikhil
Название: Recent Advances in Decision Making
ISBN: 364226932X ISBN-13(EAN): 9783642269325
Издательство: Springer
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Цена: 93160.00 T
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Описание: Intelligent paradigms are increasingly finding their ways into the design and development of decision support systems. This book offers samples from key researchers of the latest advances in intelligent decision support systems.

Автор: Cengiz Kahraman
Название: Fuzzy Multi-Criteria Decision Making
ISBN: 0387768122 ISBN-13(EAN): 9780387768120
Издательство: Springer
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Цена: 167700.00 T
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Описание: Presents fuzzy multiattribute and multiobjective decision-making methodologies. This work examines various fuzzy multicriteria methods, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, and more.

Автор: Kahraman
Название: Fuzzy Statistical Decision-Making
ISBN: 3319390120 ISBN-13(EAN): 9783319390123
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments.

Автор: Jiuping Xu; Ziqiang Zeng
Название: Fuzzy-Like Multiple Objective Multistage Decision Making
ISBN: 3319033972 ISBN-13(EAN): 9783319033976
Издательство: Springer
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Цена: 148020.00 T
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Описание: This book presents the state-of-the-art methodology for modeling, analyzing and solving multiple objective multistage decision making practical application problems under fuzzy-like uncertainty. Includes real-world engineering case studies.

Автор: R. Venkata Rao
Название: Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods
ISBN: 1447159373 ISBN-13(EAN): 9781447159377
Издательство: Springer
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Цена: 113180.00 T
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Описание: This book covers theory and application of such MADM methods as Analytic Hierarchy Process, Technique for Order Preference by Similarity to Ideal Solution, VIsekriterijumsko KOmpromisno Rangiranje and more. Offers novel MADM methods, and includes computer code.

Автор: Hans-J?rgen Zimmermann
Название: Fuzzy Sets, Decision Making, and Expert Systems
ISBN: 0898381495 ISBN-13(EAN): 9780898381498
Издательство: Springer
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Цена: 194730.00 T
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Описание: Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech- niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic.

Автор: Schatz
Название: Advances in Cross-Cultural Decision Making
ISBN: 3319416359 ISBN-13(EAN): 9783319416359
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book reports on the latest advances in understanding human cognition and its interplay with various cultural constructs, such as geographical, historical, sociological, and organizational cultures. It addresses researchers, scholars, and industry practitioners from diverse backgrounds, including sociology, linguistics, business, military science, psychology, human factors, neuroscience, and education. The book covers a wealth of topics, such as the analyses of historical events and intercultural competence, commercial applications of social-cultural science, the study of decision-making similarities (and differences) across cultures, Human, Social, Cultural Behavioral (HSCB) modeling and simulation technology, as well as social networks and studies on group communication. It also reports on real-world case studies relevant to cross-cultural decision making. The book aims at combining neurocognitive studies with studies from other relevant disciplines to develop a more holistic understanding of the decisions that people, groups, and societies make to improve the ability to forecast and plan for the future. The book is based on the AHFE 2016 International Conference on Cross-Cultural Decision Making (CCDM), held on July 27-31, 2016, in Walt Disney World®, Florida, USA.

Автор: Mark Hoffman
Название: Advances in Cross-Cultural Decision Making
ISBN: 3319607464 ISBN-13(EAN): 9783319607467
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book reports on the latest advances in understanding cross-cultural decision and human cognition with respect to various cultural constructs, such as geographical, historical, sociological, and organizational cultures.

Автор: Huchang Liao; Zeshui Xu
Название: Hesitant Fuzzy Decision Making Methodologies and Applications
ISBN: 9811032645 ISBN-13(EAN): 9789811032646
Издательство: Springer
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Цена: 111790.00 T
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Описание: Preface.- 1 Hesitant Fuzzy Set and Its Extensions.- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set.- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators.- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information.- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights.- 6 Decision Making with Hesitant Fuzzy Preference Relation.