Fuzzy Approach to Reasoning and Decision-Making, Vil?m Nov?k; Jaroslav Ram?k; Milan Mares; Martin C
Автор: Christer Carlsson; Robert Fuller Название: Fuzzy Reasoning in Decision Making and Optimization ISBN: 3790824976 ISBN-13(EAN): 9783790824971 Издательство: Springer Рейтинг: Цена: 31991 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Pierre Bessi?re; Christian Laugier; Roland Siegwar Название: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems ISBN: 3642097847 ISBN-13(EAN): 9783642097843 Издательство: Springer Рейтинг: Цена: 28608 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The chapters contain a sizable segment of cognitive systems research in Europe. Contributions come from leading academic institutions within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS).
Автор: Gloria Phillips-Wren; Nikhil Ichalkaranje Название: Intelligent Decision Making: An AI-Based Approach ISBN: 3642095534 ISBN-13(EAN): 9783642095535 Издательство: Springer Рейтинг: Цена: 28608 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering.
Автор: S.G. Tzafestas; Anastasios N. Venetsanopoulos Название: Fuzzy Reasoning in Information, Decision and Control Systems ISBN: 0792326431 ISBN-13(EAN): 9780792326434 Издательство: Springer Рейтинг: Цена: 64900 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Devoted to the study of fuzzy reasoning as applied to decision making and control processes. This book contains a collection of contributions covering a range of topics within the field. It is suitable for the researcher and practitioner, as well as for the teacher and student in related Master and Doctoral courses.
Автор: Young-Jou Lai; Ching-Lai Hwang Название: Fuzzy Multiple Objective Decision Making ISBN: 3540575952 ISBN-13(EAN): 9783540575955 Издательство: Springer Рейтинг: Цена: 22193 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 Рейтинг: Цена: 27550 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 22886 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 Рейтинг: Цена: 31991 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.
Автор: Freerk A. Lootsma Название: Fuzzy Logic for Planning and Decision Making ISBN: 1441947795 ISBN-13(EAN): 9781441947796 Издательство: Springer Рейтинг: Цена: 26020 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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".
Автор: Hans-J?rgen Zimmermann Название: Fuzzy Sets, Decision Making, and Expert Systems ISBN: 9401079579 ISBN-13(EAN): 9789401079570 Издательство: Springer Рейтинг: Цена: 30613 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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