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: George J. Klir; Mark J. Wierman Название: Uncertainty-Based Information ISBN: 379082464X ISBN-13(EAN): 9783790824643 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Colleges give degrees in information science and information management. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory.
Автор: Shengli Wu Название: Data Fusion in Information Retrieval ISBN: 3642448011 ISBN-13(EAN): 9783642448010 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a theoretical and empirical approach to data fusion, used in information retrieval in complex, diverse settings such as web and social networks, legal, enterprise and others. Discusses, analyzes and ealuates typical data fusion algorithms.
Описание: This work proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) and the µBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. In addition, a sensor defect detection method, which is based on the continuous monitoring of sensor reliabilities, is presented. The performances of the contributions are shown by their evaluation in the scope of both a publicly available data set and a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms.
Автор: Bernadette Bouchon-Meunier; Ronald R. Yager; Lotfi Название: Information, Uncertainty and Fusion ISBN: 1461373735 ISBN-13(EAN): 9781461373735 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As we stand at the precipice of the twenty first century the ability to capture and transmit copious amounts of information is clearly a defining feature of the human race. The recent IPMU conference held at La Sorbonne in Paris brought together some of the world`s leading experts in uncertainty and information fusion.
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 book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets.
Автор: Amihai Motro; Philippe Smets Название: Uncertainty Management in Information Systems ISBN: 0792398033 ISBN-13(EAN): 9780792398035 Издательство: Springer Рейтинг: Цена: 32004.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describes how information systems can be made to manage information permeated with uncertainty. This book describes issues and challenges in the area of imperfect information that confront information systems. It covers the principal theories for modeling imperfect information, and shows how these theories may be adapted to information systems.
Автор: V.S. Alagar; S. Bergler; F.Q. Dong Название: Incompleteness and Uncertainty in Information Systems ISBN: 3540198970 ISBN-13(EAN): 9783540198970 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains papers presented at a workshop on the subject, held at Concordia University, Montreal, Canada in October 1993. The contributors discuss software aberrations, modelling uncertainty in object-oriented databases, the management of uncertainty in AI and much more.
Part 1: Data Modelling, Integration, Fusion and Analysis in IGIS.- Space Theory for Intelligent GIS.- Detecting Attribute-based Homogeneous Patches Using Spatial Clustering: A Comparison Test.- Part 2: Maritime Traffic Control Methods.- Vessel scheduling optimization in different types of waterway.- The Route Planning for Vessel Based on the Dynamic Complexity Map.- Part 3: IGIS integration with acoustic, remote sensing and radar systems.- Calibration and verification of the models defining radar visibility zones in marine geoinformation systems.- Geoinformational Support of Search Efforts Distribution in Changing Environmental Conditions.- Part 4: Ports, Maritime Transportation and Logistics.- Community Structures in Networks of Disaggregated Cargo Flows to Maritime Ports.- Simulation Modeling of Maritime Monitoring Systems with Application of Information Technology Complex.- Part 5: IGIS for Land-based Research.- ST-PF: Spatio-Temporal Particle Filter for Floating Car Data Pre-processing.- Geochronologic Tracking - Specialized GIS Analysis Tool for Historic Research.
Автор: Tomasa Calvo S?nchez; Joan Torrens Sastre Название: Fuzzy Logic and Information Fusion ISBN: 3319304194 ISBN-13(EAN): 9783319304199 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book alsoincludes an overview of evolutionary fuzzy systems, a topic that is not one of Mayor`s main areas of interest, and a final chapterwritten by the Spanish pioneer in fuzzylogic, Professor E.
Автор: George J. Klir; Mark J. Wierman Название: Uncertainty-Based Information ISBN: 3790812420 ISBN-13(EAN): 9783790812428 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Colleges give degrees in information science and information management. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory.
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