Hudec Fuzziness in Information Systems 9783319425160

Варианты приобретения

Цена: 13275.00р.
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: Есть
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Hudec
Название: Fuzziness in Information Systems
ISBN: 9783319425160
Издательство: Springer
Классификация:

Базы данных

Извлечение знаний из данных

Искусственный интеллект

Нейронные сети и нечеткие системы

ISBN-10: 3319425161
Обложка/Формат: Hardback
Страницы: 198
Вес: 0.50 кг.
Дата издания: 2016
Язык: English
Иллюстрации: 91 black & white illustrations, biography
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:

This book is an essential contribution to the description of fuzziness in information systems. Usually users want to retrieve data or summarized information from a database and are interested in classifying it or building rule-based systems on it. But they are often not aware of the nature of this data and/or are unable to determine clear search criteria. The book examines theoretical and practical approaches to fuzziness in information systems based on statistical data related to territorial units.

Chapter 1 discusses the theory of fuzzy sets and fuzzy logic to enable readers to understand the information presented in the book. Chapter 2 is devoted to flexible queries and includes issues like constructing fuzzy sets for query conditions, and aggregation operators for commutative and non-commutative conditions, while Chapter 3 focuses on linguistic summaries. Chapter 4 presents fuzzy logic control architecture adjusted specifically for the aims of business and governmental agencies, and shows fuzzy rules and procedures for solving inference tasks. Chapter 5 covers the fuzzification of classical relational databases with an emphasis on storing fuzzy data in classical relational databases in such a way that existing data and normal forms are not affected. This book also examines practical aspects of user-friendly interfaces for storing, updating, querying and summarizing. Lastly, Chapter 6 briefly discusses possible integration of fuzzy queries, summarization and inference related to crisp and fuzzy databases.

The main target audience of the book is researchers and students working in the fields of data analysis, database design and business intelligence. As it does not go too deeply into the foundation and mathematical theory of fuzzy logic and relational algebra, it is also of interest to advanced professionals developing tailored applications based on fuzzy sets.

Дополнительное описание: 1 Fuzzy Set and Fuzzy Logic Theory in Brief.- 2 Fuzzy Queries.- 3 Linguistic Summaries.- 4 Fuzzy Inference.- 5 Fuzzy Data in Relational Databases.- 6 Perspectives, Synergies and Conclusion.- A Illustrative Interfaces and Applications for Fuzzy Queries.- B

Fuzziness in Information Systems, Hudec