Fuzziness and Approximate Reasoning, Kofi Kissi Dompere
Автор: Xuzhu Wang; Da Ruan; Etienne E. Kerre Название: Mathematics of Fuzziness—Basic Issues ISBN: 3642097006 ISBN-13(EAN): 9783642097003 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a systematic and self-contained introduction to the essentials of mathematics of fuzziness. It contains most of the authors` research results in the field of fuzzy set theory and has evolved from lecture notes over the last three decades.
Автор: Eyke H?llermeier Название: Case-Based Approximate Reasoning ISBN: 9048174317 ISBN-13(EAN): 9789048174317 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR.
Автор: Kofi Kissi Dompere Название: Epistemic Foundations of Fuzziness ISBN: 3642099882 ISBN-13(EAN): 9783642099885 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is the second in a series on the role of fuzzy paradigm and fuzzy rationality within the theory of knowledge. This one is devoted to unified epistemic models and theories of decision-choice under total uncertainties.
Автор: Lech Polkowski Название: Approximate Reasoning by Parts ISBN: 3642269850 ISBN-13(EAN): 9783642269851 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The monograph offers a view on Rough Mereology, a tool for reasoning under uncertainty, which goes back to Mereology, formulated in terms of parts by Lesniewski, and borrows from Fuzzy Set Theory and Rough Set Theory ideas of the containment to a degree.
Автор: Hudec Название: Fuzziness in Information Systems ISBN: 3319425161 ISBN-13(EAN): 9783319425160 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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