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Type-2 Fuzzy Granular Models, Sanchez


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Цена: 7685.00р.
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Автор: Sanchez
Название:  Type-2 Fuzzy Granular Models
ISBN: 9783319412870
Издательство: Springer
Классификация:

ISBN-10: 3319412876
Обложка/Формат: Paperback
Страницы: 93
Вес: 0.17 кг.
Дата издания: 2017
Серия: Springerbriefs in applied sciences and technology
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 51 illustrations, color; 9 illustrations, black and white; viii, 93 p. 60 illus., 51 illus. in color.
Размер: 234 x 156 x 6
Читательская аудитория: General (us: trade)
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such as Coefficient of Variation, principle of justifiable granularity, uncertainty-based information concept, and numerical evidence based.


Granular Computing: At the Junction of Rough Sets and Fuzzy Sets

Автор: Rafael Bello; Rafael Falc?n; Witold Pedrycz
Название: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
ISBN: 3642095682 ISBN-13(EAN): 9783642095689
Издательство: Springer
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Цена: 30606.00 р.
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Описание: This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba.

Granular Computing: At the Junction of Rough Sets and Fuzzy Sets

Автор: Rafael Bello; Rafael Falc?n; Witold Pedrycz
Название: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
ISBN: 3540769722 ISBN-13(EAN): 9783540769729
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Since their inception, fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. This title offers a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Автор: Dominik Slezak; JingTao Yao; James F. Peters; Wojc
Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
ISBN: 3540286608 ISBN-13(EAN): 9783540286608
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Contains papers from the proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, held in Regina, Canada in August/September 2005 in 2 volumes.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Автор: Dominik Slezak; Marcin Szczuka; Ivo Duentsch; Yiyu
Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
ISBN: 3540286535 ISBN-13(EAN): 9783540286530
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Part of a two volume set, this title includes information related to rough set approximations, rough-algebraic foundations, feature selection and reduction, rough-probabilistic approaches, rough-fuzzy hybridization, fuzzy methods in data analysis, evolutionary computing, machine learning, probabilistic network models, granular computing, and more.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Автор: Hiroshi Sakai; Mihir Chakraborty; Aboul-Ella Hassa
Название: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
ISBN: 3642106455 ISBN-13(EAN): 9783642106453
Издательство: Springer
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Цена: 14673.00 р.
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Описание: This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009.

Granular, Soft and Fuzzy Approaches for Intelligent Systems

Автор: Kacprzyk
Название: Granular, Soft and Fuzzy Approaches for Intelligent Systems
ISBN: 3319403125 ISBN-13(EAN): 9783319403120
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book offers a comprehensive report on the state-of-the art in the broadly-intended field of “intelligent systems”. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors’ appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving.

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Автор: James C. Bezdek; James Keller; Raghu Krisnapuram;
Название: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
ISBN: 0792385217 ISBN-13(EAN): 9780792385219
Издательство: Springer
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Цена: 62750.00 р.
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Описание: This study introduces the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision.


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