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Interval-Valued Methods in Classifications and Decisions, Bentkowska Urszula


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Цена: 93160.00T
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Автор: Bentkowska Urszula
Название:  Interval-Valued Methods in Classifications and Decisions
ISBN: 9783030129293
Издательство: Springer
Классификация:



ISBN-10: 3030129292
Обложка/Формат: Paperback
Страницы: 163
Вес: 0.26 кг.
Дата издания: 14.08.2020
Серия: Studies in fuzziness and soft computing
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 100 tables, color; 5 illustrations, color; 7 illustrations, black and white; xv, 163 p. 12 illus., 5 illus. in color.
Размер: 23.39 x 15.60 x 0.97 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making processes under incomplete or imprecise information. It then discusses new methods for aggregation on interval-valued settings, and the most common properties of interval-valued aggregation operators.

Interval-Valued Methods in Classifications and Decisions

Автор: Urszula Bentkowska
Название: Interval-Valued Methods in Classifications and Decisions
ISBN: 3030129268 ISBN-13(EAN): 9783030129262
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making processes under incomplete or imprecise information. At first, it introduces interval-valued fuzzy sets. It then discusses new methods for aggregation on interval-valued settings, and the most common properties of interval-valued aggregation operators. It then presents applications such as decision making using interval-valued aggregation, and classification in case of missing values. Interesting applications of the developed algorithms to DNA microarray analysis and in medical decision support systems are shown. The book is intended not only as a timely report for the community working on fuzzy sets and their extensions but also for researchers and practitioners dealing with the problems of uncertain or imperfect information.

How Zoologists Organize Things: The Art of Classification

Автор: Bainbridge David
Название: How Zoologists Organize Things: The Art of Classification
ISBN: 0711252262 ISBN-13(EAN): 9780711252264
Издательство: Quarto
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Цена: 19360.00 T
Наличие на складе: Поставка под заказ.
Описание: Discover how categorisation has shaped our view of the natural world with How Zoologists Organize Things. The book unveils wild truths and even wilder myths about animals, as perpetuated by zoologists - revealing how much more there is to learn, and unlearn.

Do Species Exist?: Principles of Taxonomic Classification

Автор: Kunz
Название: Do Species Exist?: Principles of Taxonomic Classification
ISBN: 3527332073 ISBN-13(EAN): 9783527332076
Издательство: Wiley
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Цена: 73920.00 T
Наличие на складе: Поставка под заказ.
Описание: Written for a wide audience of biologists and philosophers, this text gives an excellent overview of the species problem without delving into the many feuds between the different schools of taxonomy. A perfect companion for field taxonomists and students dealing with the problem.

Classification Methods for Internet Applications

Автор: Holeňa Martin, Pulc Petr, Kopp Martin
Название: Classification Methods for Internet Applications
ISBN: 3030369617 ISBN-13(EAN): 9783030369613
Издательство: Springer
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Цена: 83850.00 T
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Описание: Important Internet Applications of Classification.- Basic Concepts Concerning Classification.- Some Frequently Used Classification Methods.- Aiming at Predictive Accuracy.- Aiming at Comprehensibility.- A Team Is Superior to an Individual.

Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets

Автор: Wan Shuping, Dong Jiuying
Название: Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets
ISBN: 9811515204 ISBN-13(EAN): 9789811515200
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with interval-valued intuitionistic fuzzy preference relations.

Models and Methods for Interval-Valued Cooperative Games in Economic Management

Автор: Li Deng-Feng
Название: Models and Methods for Interval-Valued Cooperative Games in Economic Management
ISBN: 3319804707 ISBN-13(EAN): 9783319804705
Издательство: Springer
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Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book proposes several commonly used interval-valued solution concepts of interval-valued cooperative games with transferable utility.

Integration of Modern Taxonomic Methods For Penicillium and Aspergillus Classification

Название: Integration of Modern Taxonomic Methods For Penicillium and Aspergillus Classification
ISBN: 036739796X ISBN-13(EAN): 9780367397968
Издательство: Taylor&Francis
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Цена: 65320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many species of penicillium and aspergillus are key in biotechnology, food, medicine, biodeterioration and other applied fields, so a practical and stable taxonomy is of vital importance. Developments in science and technology mean that taxonomic classification is no longer confined to classical morphological concepts, and the integration of molecular, physiological and biochemical methods now plays an important role in understanding the classification of these fungi. International experts contribute their expertise, providing value to researchers and professionals in mycology, biotechnology, medicine and regulatory agencies interested in the identification of these fungi.

Integration of Modern Taxonomic Methods For Penicillium and Aspergillus Classification

Автор: Samson
Название: Integration of Modern Taxonomic Methods For Penicillium and Aspergillus Classification
ISBN: 9058231593 ISBN-13(EAN): 9789058231598
Издательство: Taylor&Francis
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Цена: 224570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These are the proceedings from the International Workshop on Penicillium and Aspergillus. The theme was the systematics of these fungi. The taxonomy has developed from morphological concepts, and these papers consider the integration of molecular, physiological and biochemical methods.

Models and Methods for Interval-Valued Cooperative Games in Economic Management

Автор: Deng-Feng Li
Название: Models and Methods for Interval-Valued Cooperative Games in Economic Management
ISBN: 3319289969 ISBN-13(EAN): 9783319289960
Издательство: Springer
Рейтинг:
Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book proposes several commonly used interval-valued solution concepts of interval-valued cooperative games with transferable utility.

Pattern classification

Автор: Abe, Shigeo
Название: Pattern classification
ISBN: 1447110773 ISBN-13(EAN): 9781447110774
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive performance evaluation of real data sets. It thus offers new learning paradigms for analyzing neural networks and fuzzy systems, while training fuzzy classifiers.

Machine Learning Models and Algorithms for Big Data Classification

Автор: Shan Suthaharan
Название: Machine Learning Models and Algorithms for Big Data Classification
ISBN: 1489978526 ISBN-13(EAN): 9781489978523
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book presents machine learning models and algorithms to address big data classification problems. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The third part presents the topics required to understand and select machine learning techniques to classify big data.

Analysis and Classification of EEG Signals for Brain–Computer Interfaces

Автор: Szczepan Paszkiel
Название: Analysis and Classification of EEG Signals for Brain–Computer Interfaces
ISBN: 3030305805 ISBN-13(EAN): 9783030305802
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain-computer interfaces.


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