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Linguistic Fuzzy Logic Methods in Social Sciences, Badredine Arfi


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Автор: Badredine Arfi
Название:  Linguistic Fuzzy Logic Methods in Social Sciences
ISBN: 9783642133428
Издательство: Springer
Классификация:


ISBN-10: 3642133428
Обложка/Формат: Hardback
Страницы: 204
Вес: 0.47 кг.
Дата издания: 2010
Серия: Studies in Fuzziness and Soft Computing
Язык: English
Издание: 2010 ed.
Иллюстрации: Black & white illustrations
Размер: 240 x 164 x 22
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents linguistic fuzzy logic methods applied to social sciences. It presents an approach to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences.


Linguistic Fuzzy Logic Methods in Social Sciences

Автор: Badredine Arfi
Название: Linguistic Fuzzy Logic Methods in Social Sciences
ISBN: 3642422373 ISBN-13(EAN): 9783642422379
Издательство: Springer
Рейтинг:
Цена: 19589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents linguistic fuzzy logic methods applied to social sciences. It presents an approach to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences.

Optimal Models and Methods with Fuzzy Quantities

Автор: Bing-Yuan Cao
Название: Optimal Models and Methods with Fuzzy Quantities
ISBN: 3642107109 ISBN-13(EAN): 9783642107108
Издательство: Springer
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Цена: 26122.00 р.
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Описание: This book studies optimized models with fuzzy quantities. It can be used by undergraduates in higher education, master graduates and doctor graduates. It also serves as a reference for researchers, particularly for those in the field of soft science.

Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

Автор: Zhang
Название: Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis
ISBN: 3319420003 ISBN-13(EAN): 9783319420004
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making.

Fuzzy Logic and Applications

Автор: Isabelle Bloch; Alfredo Petrosino; Andrea G.B. Tet
Название: Fuzzy Logic and Applications
ISBN: 3540325298 ISBN-13(EAN): 9783540325291
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Constitutes the refereed post-workshop proceedings of the 6th International Workshop on Fuzzy Logic and Applications held in September 2005. This book includes papers that are organized in topical sections on neuro-fuzzy systems, fuzzy logic and possibility theory, pattern recognition, evolutionary algorithms, control, and bioinformatics.

An Introduction to Fuzzy Logic and Fuzzy Sets

Автор: Buckley James J., Eslami Esfandiar
Название: An Introduction to Fuzzy Logic and Fuzzy Sets
ISBN: 3790814474 ISBN-13(EAN): 9783790814477
Издательство: Springer
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Цена: 7680.00 р.
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Описание: This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications.

Soft Computing in Humanities and Social Sciences

Автор: Rudolf Seising; Veronica Sanz Gonz?lez
Название: Soft Computing in Humanities and Social Sciences
ISBN: 3642441041 ISBN-13(EAN): 9783642441042
Издательство: Springer
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Цена: 32651.00 р.
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Описание: With soft computing in humanities and the social sciences at a major turning point, this volume assembles key recent research in a field in which former distinctions between `hard` science and the humanities are breaking down and opening up fresh horizons.

Monte Carlo Methods in Fuzzy Optimization

Автор: James J. Buckley; Leonard J. Jowers
Название: Monte Carlo Methods in Fuzzy Optimization
ISBN: 3540762892 ISBN-13(EAN): 9783540762898
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Deals with Monte Carlo methods using random fuzzy numbers to obtain approximate solutions to fuzzy optimization problems. This book includes various solved problems such as fuzzy linear programming, fuzzy regression, fuzzy inventory control, fuzzy game theory, and fuzzy queuing theory.

Optimal Models and Methods with Fuzzy Quantities

Автор: Bing-Yuan Cao
Название: Optimal Models and Methods with Fuzzy Quantities
ISBN: 3642262481 ISBN-13(EAN): 9783642262487
Издательство: Springer
Рейтинг:
Цена: 26120.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book studies optimized models with fuzzy quantities. It can be used by undergraduates in higher education, master graduates and doctor graduates. It also serves as a reference for researchers, particularly for those in the field of soft science.

Analytical Methods in Fuzzy Modeling and Control

Автор: Jacek Kluska
Название: Analytical Methods in Fuzzy Modeling and Control
ISBN: 3642100643 ISBN-13(EAN): 9783642100642
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models.


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