Fuzzy Sets, Decision Making, and Expert Systems, Hans-J?rgen Zimmermann

Автор: J. Kacprzyk; Mario Fedrizzi
Название: Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory
ISBN: 9401074488 ISBN-13(EAN): 9789401074483
Издательство: Springer
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Цена: 213360.00 T
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Описание: The basic model of a decision in classical normative decision theory has very little in common with real decision making: It portrays a decision as a clear-cut act of choice, performed by one individual decision maker and in which states of nature, possible actions, results and preferences are well and crisply defined.

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: Hans-J?rgen Zimmermann
Название: Fuzzy Sets, Decision Making, and Expert Systems
ISBN: 9401079579 ISBN-13(EAN): 9789401079570
Издательство: Springer
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Цена: 186340.00 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: 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: 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: 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.

Автор: Christer Carlsson; Robert Fuller
Название: Fuzzy Reasoning in Decision Making and Optimization
ISBN: 3790824976 ISBN-13(EAN): 9783790824971
Издательство: Springer
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Цена: 194730.00 T
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Описание: Unlike classical logic which requires a deep under- standing of a system, exact equations, and precise numeric values, fuzzy logic incorporates an alternative way of thinking, which allows modeling complex systems using a higher level of abstraction originating from our knowledge and experience.

Автор: E. Stanley Lee; Hsu-shih Shih
Название: Fuzzy and Multi-Level Decision Making
ISBN: 144711177X ISBN-13(EAN): 9781447111771
Издательство: Springer
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Описание: Managerial Decisions in hierarchy organizations, such as the various manufacturing and service companies, are difficult to formalize and even more difficult to optimize. The concepts of fuzzy set and fuzzy linguistic representation, which form an integral part of any managerial decision, are also discussed.

Автор: Henk G. Sol; Cees A.Th. Takkenberg; Pieter F. de V
Название: Expert Systems and Artificial Intelligence in Decision Support Systems
ISBN: 940108193X ISBN-13(EAN): 9789401081931
Издательство: Springer
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Цена: 158340.00 T
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Описание: Proceedings of the Second Mini Euroconference, Lunteren, The Netherlands, November 17-20, 1985

Автор: Boris Deliba?i?; Jorge E. Hern?ndez; Jason Papatha
Название: Decision Support Systems V – Big Data Analytics for Decision Making
ISBN: 3319185322 ISBN-13(EAN): 9783319185323
Издательство: Springer
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Цена: 37270.00 T
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Описание: 'Big Data' Decision Making Use Cases.- The Roles of Big Data in the Decision-Support Process: An Empirical Investigation.- Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda.- Making Sense of Governmental Activities Over Social Media: A Data-Driven Approach.- Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts.- The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case.- A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem.- Decision Support Model for Participatory Management of Water Resource.- Modeling Interactions Among Criteria in MCDM Methods: A Review.

Автор: Cengiz Kahraman
Название: Fuzzy Multi-Criteria Decision Making
ISBN: 144194575X ISBN-13(EAN): 9781441945754
Издательство: Springer
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Цена: 181670.00 T
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Описание: In summarizing the concepts and results of the most popular fuzzy multicriteria methods, using numerical examples, this work examines all the most recently developed methods. Each one of the 22 chapters include practical applications along with new results.

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.