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Fuzzy Logic for Planning and Decision Making, Freerk A. Lootsma


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Автор: Freerk A. Lootsma
Название:  Fuzzy Logic for Planning and Decision Making
ISBN: 9781441947796
Издательство: Springer
Классификация:





ISBN-10: 1441947795
Обложка/Формат: Paperback
Страницы: 198
Вес: 0.30 кг.
Дата издания: 25.12.2011
Серия: Applied Optimization
Язык: English
Размер: 234 x 156 x 11
Основная тема: Business and Management
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Thisvolume starts with the basicconceptsof FuzzyLogic: the membership function, the intersection and the union of fuzzy sets, fuzzy numbers, and the extension principle underlying the algorithmic operations. Several chapters are devoted to applications of FuzzyLogic in various branches of Operations Research: PERT planning with uncertain activity durations, SMART and the AHP for Multi-Criteria Decision Analysis (MCDA) with vague preferential statements, ELECTRE usingthe ideasof the AHP and SMART, and Multi-Objective Optimization (MOO) with weighted degrees of satisfaction. Finally, earlierstudiesof colour perception illustrate the attemptsto find a physiological basisfor the set-theoretical and the algorithmic operations in Fuzzy Logic. The last chapter also discusses somekey issues in linguistic categorization and the prospectsof FuzzyLogicas a multi-disciplinary research activity. I am greatly indebted to the Department of Mechanical Engineering and Applied Mechanics, College of Engineering, University of Michigan, Ann Arbor, for the splendid opportunity to start the actual work on this book during my sabbatical leavefrom Delft (1993 - 1994); to LAMSADE, Universite de Paris-Dauphine, where many ideas emerged duringtwo winter visits (1989, 1990); to the International Institute for Applied Systems Analysis, Laxenburg, Austria, whereI got further inspiration duringa number of summer visits (1992, 1995, and 1996); and to the NISSAN Foundation in The Netherlands who enabled me to visit several Japanese universities (June 1996). Moreover, I gratefully acknowledge the stimulating supportgiven by many colleagues inthe International Society on Multi-Criteria Decision Making and in the European Working Group Aide Multicritere Ii la Decision.


Planning and Decision Making for Aerial Robots

Автор: Yasmina Bestaoui Sebbane
Название: Planning and Decision Making for Aerial Robots
ISBN: 3319344757 ISBN-13(EAN): 9783319344751
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book provides an introduction to planning and decision making for aerial robots, including motion planning, deterministic decision making, decision making under uncertainty, and multi-robot planning. It includes case studies.

Fuzzy-Like Multiple Objective Multistage Decision Making

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: 22203.00 р.
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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.

Hesitant Fuzzy Decision Making Methodologies and Applications

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: 16769.00 р.
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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.

Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods

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: 16977.00 р.
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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.

Fuzzy Multi-Criteria Decision Making

Автор: Cengiz Kahraman
Название: Fuzzy Multi-Criteria Decision Making
ISBN: 0387768122 ISBN-13(EAN): 9780387768120
Издательство: Springer
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Цена: 25155.00 р.
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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.

Fuzzy-Like Multiple Objective Decision Making

Автор: Jiuping Xu; Xiaoyang Zhou
Название: Fuzzy-Like Multiple Objective Decision Making
ISBN: 3642437028 ISBN-13(EAN): 9783642437021
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Using real-life problems, this book presents applications of the fuzzy-like multi-objective decision making (FLMODM) model. It proposes the basic theories, models and algorithms and applies them to solve realistic problems.

Fuzzy Statistical Decision-Making

Автор: Kahraman
Название: Fuzzy Statistical Decision-Making
ISBN: 3319390120 ISBN-13(EAN): 9783319390123
Издательство: Springer
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Цена: 20896.00 р.
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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.

Fuzzy Sets, Decision Making, and Expert Systems

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: 29209.00 р.
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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.

Fuzzy Multi-Criteria Decision Making

Автор: Cengiz Kahraman
Название: Fuzzy Multi-Criteria Decision Making
ISBN: 144194575X ISBN-13(EAN): 9781441945754
Издательство: Springer
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Цена: 27251.00 р.
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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.

Advances in Fuzzy Decision Making

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: 15672.00 р.
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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.

Advances in Fuzzy Decision Making

Автор: Iwona Skalna; Bogdan R?biasz; Bart?omiej Gawe?; Be
Название: Advances in Fuzzy Decision Making
ISBN: 3319369008 ISBN-13(EAN): 9783319369006
Издательство: Springer
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Цена: 13059.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Thisbook shows how common operation management methods and algorithms can beextended to deal with vague or imprecise information in decision-makingproblems.


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