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Fuzzy and Multi-Level Decision Making, E. Stanley Lee; Hsu-shih Shih


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Автор: E. Stanley Lee; Hsu-shih Shih
Название:  Fuzzy and Multi-Level Decision Making
ISBN: 9781447111771
Издательство: Springer
Классификация:



ISBN-10: 144711177X
Обложка/Формат: Paperback
Страницы: 193
Вес: 0.29 кг.
Дата издания: 30.09.2011
Серия: Advanced Manufacturing
Язык: English
Размер: 229 x 152 x 11
Основная тема: Engineering
Подзаголовок: An Interactive Computational Approach
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


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.

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 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.

Uncertain Multi-Attribute Decision Making

Автор: Zeshui Xu
Название: Uncertain Multi-Attribute Decision Making
ISBN: 3662526255 ISBN-13(EAN): 9783662526255
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation.

Fuzzy Multiple Objective Decision Making

Автор: Young-Jou Lai; Ching-Lai Hwang
Название: Fuzzy Multiple Objective Decision Making
ISBN: 3540575952 ISBN-13(EAN): 9783540575955
Издательство: Springer
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Цена: 20263.00 р.
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Описание: Methods of crisp, fuzzy and possibilistic multiple objective decision-making are systematically reviewed and classified in this volume. The reader is provided with a survey of existing methods and their application to the analysis of fuzzy programming problems.

Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory

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: 32004.00 р.
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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.

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.

Fuzzy Logic for Planning and Decision Making

Автор: Freerk A. Lootsma
Название: Fuzzy Logic for Planning and Decision Making
ISBN: 1441947795 ISBN-13(EAN): 9781441947796
Издательство: Springer
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Цена: 23757.00 р.
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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".

Uncertain Multi-Attribute Decision Making

Автор: Zeshui Xu
Название: Uncertain Multi-Attribute Decision Making
ISBN: 3662456397 ISBN-13(EAN): 9783662456392
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
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Описание: This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation.

Fuzzy Sets, Decision Making, and Expert Systems

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: 27951.00 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.

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 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.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.


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