Imprecision and Uncertainty in Information Representation and Processing, Plamen Angelov; Sotir Sotirov
Автор: Krassimir T. Atanassov; Oscar Castillo; Janusz Kac Название: Novel Developments in Uncertainty Representation and Processing ISBN: 3319262106 ISBN-13(EAN): 9783319262109 Издательство: Springer Рейтинг: Цена: 26552.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
I. General Issues in the Representation and Processing of Uncertainty and Imprecision.- II. Intuitionistic Fuzzy Sets: Foundations, Tools and Techniques.- III. Intuitionistic Fuzzy Sets: Applications.- IV. Generalized Nets and Neural Networks.- V. Issues in Metaheuristic Search Algorithms and their Applications.- VI. Applications and Implementations.
Описание: Constitutes the proceedings of the 13th conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, held in Dortmund, Germany, in June 2010.
Описание: The International Conference on Information Processing and Management of - certainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems.
Автор: Dov M. Gabbay; Philippe Smets Название: Quantified Representation of Uncertainty and Imprecision ISBN: 9048150388 ISBN-13(EAN): 9789048150380 Издательство: Springer Рейтинг: Цена: 41647.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Handbook was produced in the style of previous handbook series like the Handbook of Philosoph- ical Logic, the Handbook of Logic in Computer Science, the Handbook of Logic in Artificial Intelligence and Logic Programming, and can be seen as a companion to them in covering the wide applications of logic and reasoning.
Описание: and the Fifteenth International Workshop on Intuitionistic Fuzzy Sets and General Nets, IWIFSGN-2016, one of the foremost conferences on fuzzy logic, notably addressing extensions of the traditional fuzzy sets, as well as the Generalized Nets (GNs), a powerful extension of the traditional Petri net paradigm.
Автор: Maciej Wygralak Название: Intelligent Counting Under Information Imprecision ISBN: 364243990X ISBN-13(EAN): 9783642439902 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents methods of intelligent counting that are human-consistent, are reflections and formalizations of real, human counting procedures. The text is self-contained, systematic and equipped with many examples, figures and tables.
Автор: Wygralak Maciej Название: Intelligent Counting Under Information Imprecision ISBN: 3642346847 ISBN-13(EAN): 9783642346842 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents methods of intelligent counting that are human-consistent, are reflections and formalizations of real, human counting procedures. The text is self-contained, systematic and equipped with many examples, figures and tables.
Автор: Gloria Bordogna; Giuseppe Psaila Название: Flexible Databases Supporting Imprecision and Uncertainty ISBN: 3642421652 ISBN-13(EAN): 9783642421655 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume offers the advice of selected expert contributors on the application of heterogeneous methods for managing uncertainty and imprecision in databases. It contains both survey chapters on classic topics such as "flexible querying in databases", and up to date information on "database models to represent imperfect data".
Автор: Didier Dubois; Maria Asuncion Lubiano; Henri Prade Название: Soft Methods for Handling Variability and Imprecision ISBN: 3540850260 ISBN-13(EAN): 9783540850267 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. This work aims to present results illustrating such trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information.
Описание: Viewed from database technology, information modeling in databases can be identified at two levels: (conceptual) data modeling and (logical) database modeling. Generally a conceptual data model is designed and then the designed conceptual data model will be transformed into a chosen logical database schema.
Описание: The M logic goes an important step further than the BP logic in that it can distinguish between certain types of information supply sentences which have the same representation in the BP logic as well as in traditional first order logic, although they clearly have different meanings (see example 6.
Описание: The M logic goes an important step further than the BP logic in that it can distinguish between certain types of information supply sentences which have the same representation in the BP logic as well as in traditional first order logic, although they clearly have different meanings (see example 6.
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