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Aggregation and Fusion of Imperfect Information, Bernadette Bouchon-Meunier


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Автор: Bernadette Bouchon-Meunier
Название:  Aggregation and Fusion of Imperfect Information
ISBN: 9783790810486
Издательство: Springer
Классификация:



ISBN-10: 3790810487
Обложка/Формат: Hardcover
Страницы: 278
Вес: 0.58 кг.
Дата издания: 18.11.1997
Серия: Studies in Fuzziness and Soft Computing
Язык: English
Размер: 234 x 156 x 18
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This text presents the main tools for aggregation of information given by several members of a group or expressed in multiple criteria, and for fusion of data provided by several sources. It focuses on the case where the availability of knowledge is imperfect.


Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

Автор: Daniela Sanchez; Patricia Melin
Название: Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
ISBN: 331928861X ISBN-13(EAN): 9783319288611
Издательство: Springer
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Цена: 9141.00 р.
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Описание: The techniquesused and combined in the proposed method are modular neural networks (MNNs)with a Granular Computing (GrC) approach, thus resulting in a new concept ofMNNs;

Aggregation Functions in Theory and in Practise

Автор: Humberto Bustince Sola; Javier Fernandez; Radko Me
Название: Aggregation Functions in Theory and in Practise
ISBN: 3642391648 ISBN-13(EAN): 9783642391644
Издательство: Springer
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Цена: 36570.00 р.
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Описание: This volume collects the extended abstracts of 45 contributions of participants to the Seventh International Summer School on Aggregation Operators (AGOP 2013), held at Pamplona in July, 16-20, 2013.

Aggregation and Fusion of Imperfect Information

Автор: Bernadette Bouchon-Meunier
Название: Aggregation and Fusion of Imperfect Information
ISBN: 3662110733 ISBN-13(EAN): 9783662110737
Издательство: Springer
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Цена: 13974.00 р.
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An Introduction to Data Analysis using Aggregation Functions in R

Автор: Simon James
Название: An Introduction to Data Analysis using Aggregation Functions in R
ISBN: 3319467611 ISBN-13(EAN): 9783319467610
Издательство: Springer
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Цена: 7965.00 р.
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Описание:

This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.
Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.
This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers

Автор: Leticia Cervantes; Oscar Castillo
Название: Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers
ISBN: 3319266705 ISBN-13(EAN): 9783319266701
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Whenfuzzy logic is used it make it easy to performed the simulations, these fuzzysystems help to model the behavior of a real systems, using the fuzzysystems fuzzy rules are generated and with this can generate the behavior ofany variable depending on the inputs and linguistic value.

Markov chain aggregation for agent-based models

Автор: Banisch, Sven
Название: Markov chain aggregation for agent-based models
ISBN: 3319248758 ISBN-13(EAN): 9783319248752
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This self-contained text develops a Markov chain approach that makes the rigorous analysis of a class of microscopic models that specify the dynamics of complex systems at the individual level possible.

Solving Network Design Problems via Decomposition, Aggregation and Approximation

Автор: B?rmann
Название: Solving Network Design Problems via Decomposition, Aggregation and Approximation
ISBN: 3658139129 ISBN-13(EAN): 9783658139124
Издательство: Springer
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Цена: 9141.00 р.
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Описание:

Andreas B?rmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time.
Aggregation Functions in Theory and in Practice

Автор: Vicen? Torra; Radko Mesiar; Bernard De Baets
Название: Aggregation Functions in Theory and in Practice
ISBN: 3319593056 ISBN-13(EAN): 9783319593050
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition.

Aggregation Operators

Автор: Tomasa Calvo; Gaspar Mayor; Radko Mesiar
Название: Aggregation Operators
ISBN: 3662003198 ISBN-13(EAN): 9783662003190
Издательство: Springer
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Цена: 20962.00 р.
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Aggregation in Large-Scale Optimization

Автор: I. Litvinchev; Vladimir Tsurkov
Название: Aggregation in Large-Scale Optimization
ISBN: 1461348129 ISBN-13(EAN): 9781461348122
Издательство: Springer
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Цена: 13974.00 р.
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Описание: When analyzing systems with a large number of parameters, the dimen- sion of the original system may present insurmountable difficulties for the analysis.

Intelligent Medical Decision Support System Based on Imperfect Information

Автор: Krzysztof Dyczkowski
Название: Intelligent Medical Decision Support System Based on Imperfect Information
ISBN: 3319670042 ISBN-13(EAN): 9783319670041
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book discusses computer-supported medical diagnosis with a particular focus on ovarian tumor diagnosis - since ovarian cancer is difficult to diagnose and has high mortality rates, especially in Central and Eastern Europe.

Imperfect Information and Investor Heterogeneity in the Bond Market

Автор: Frank Riedel
Название: Imperfect Information and Investor Heterogeneity in the Bond Market
ISBN: 3790812471 ISBN-13(EAN): 9783790812473
Издательство: Springer
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Цена: 10760.00 р.
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Описание: Real world investors differ in their tastes and attitudes and they do not have, in general, perfect information about the future prospects of the economy. The initial chapter gives an introduction to the theory of financial markets in continuous time under imperfect information and establishes the existence of an equilibrium with complete markets.


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