[PDF] Aggregation And Fusion Of Imperfect Information eBook

Aggregation And Fusion Of Imperfect Information Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Aggregation And Fusion Of Imperfect Information book. This book definitely worth reading, it is an incredibly well-written.

Aggregation and Fusion of Imperfect Information

Author : Bernadette Bouchon-Meunier
Publisher : Physica
Page : 283 pages
File Size : 44,5 MB
Release : 2013-04-17
Category : Computers
ISBN : 3790818895

GET BOOK

This book 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 knowledge is imperfect, which means that uncertainty and/or imprecision must be taken into account. The book contains both theoretical and applied studies of aggregation and fusion methods in the main frameworks: probability theory, evidence theory, fuzzy set and possibility theory. The latter is more developed because it allows to manage both imprecise and uncertain knowledge. Applications to decision-making, image processing, control and classification are described.

Information Fusion in Data Mining

Author : Prof. Vicenç Torra
Publisher : Springer
Page : 232 pages
File Size : 17,57 MB
Release : 2013-06-05
Category : Technology & Engineering
ISBN : 3540365192

GET BOOK

Information fusion is becoming a major requirement in data mining and knowledge discovery in databases. This book presents some recent fusion techniques that are currently in use in data mining, as well as data mining applications that use information fusion. Special focus of the book is on information fusion in preprocessing, model building and information extraction with various applications.

Incomplete Information: Rough Set Analysis

Author : Ewa Orlowska
Publisher : Physica
Page : 615 pages
File Size : 43,48 MB
Release : 2013-03-14
Category : Computers
ISBN : 3790818887

GET BOOK

In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.

Fuzzy Sets in Approximate Reasoning and Information Systems

Author : J.C. Bezdek
Publisher : Springer Science & Business Media
Page : 527 pages
File Size : 20,85 MB
Release : 2012-12-06
Category : Mathematics
ISBN : 1461552435

GET BOOK

Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasoning. Then syntactic aspects of approximate reasoning are surveyed and the algebraic underpinnings of fuzzy consequence relations are presented and explained. The second part of the book is devoted to inductive and neuro-fuzzy methods for learning fuzzy rules. It also contains new material on the application of possibility theory to data fusion. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. Fuzzy Sets in Approximate Reasoning and Information Systems is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing.

Data Fusion and Perception

Author : Giacomo Della Riccia
Publisher : Springer
Page : 252 pages
File Size : 14,30 MB
Release : 2014-05-04
Category : Computers
ISBN : 3709125804

GET BOOK

This work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical Statistics and/or Machine Learning. Area overlaps with "Intelligent Data Analysis”, which aims to unscramble latent structures in collected data: Statistical Learning, Model Selection, Information Fusion, Soccer Robots, Fuzzy Quantifiers, Emotions and Artifacts.

Author :
Publisher : IOS Press
Page : 6097 pages
File Size : 44,77 MB
Release :
Category :
ISBN :

GET BOOK

Computational Intelligent Systems for Applied Research

Author : Da Ruan
Publisher : World Scientific
Page : 605 pages
File Size : 27,64 MB
Release : 2002
Category : Computers
ISBN : 9812777105

GET BOOK

FLINS is an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science. FLINS 2002 is the fifth in a series of FLINS conferences and covers state-of-the-art research and development in computational intelligence for applied research in general and for nuclear science and engineering in particular. This book outlines the trends in computational intelligence in control, decision-making, and nuclear engineering, and presents the latest developments of computational intelligent systems in applied research and nuclear applications.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author : Lluis Godo
Publisher : Springer Science & Business Media
Page : 1043 pages
File Size : 36,90 MB
Release : 2005-06-24
Category : Computers
ISBN : 3540273263

GET BOOK

These are the proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2005, held in Barcelona (Spain), July 6–8, 2005. The ECSQARU conferences are biennial and have become a major forum for advances in the theory and practice of r- soning under uncertainty. The ?rst ECSQARU conference was held in Marseille (1991), and after in Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001) and Aalborg (2003). The papers gathered in this volume were selected out of 130 submissions, after a strict review process by the members of the Program Committee, to be presented at ECSQARU 2005. In addition, the conference included invited lectures by three outstanding researchers in the area, Seraf ́ ?n Moral (Imprecise Probabilities), Rudolf Kruse (Graphical Models in Planning) and J ́ erˆ ome Lang (Social Choice). Moreover, the application of uncertainty models to real-world problems was addressed at ECSQARU 2005 by a special session devoted to s- cessful industrial applications, organized by Rudolf Kruse. Both invited lectures and papers of the special session contribute to this volume. On the whole, the programme of the conference provided a broad, rich and up-to-date perspective of the current high-level research in the area which is re?ected in the contents of this volume. IwouldliketowarmlythankthemembersoftheProgramCommitteeandthe additional referees for their valuable work, the invited speakers and the invited session organizer.

Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century

Author : J. Watada
Publisher : IOS Press
Page : 320 pages
File Size : 31,79 MB
Release : 2023-09-11
Category : Technology & Engineering
ISBN : 1643684191

GET BOOK

Since the turn of the century, geology has advanced dramatically, with materials derived from extra-terrestrial sources meaning that it now encompasses cosmology, and new technologies providing ever more sophisticated possibilities for the conducting of research. This book, Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century, aims to provide research directions for geology in the 21st century. As Eric Hobsbawm wrote, it is difficult to write the history of one’s own days, and selecting influential methods was no easy task, but an attempt has been made to include the most influential papers that represent the smart geology of the first few decades of the 21st century. The book presents 22 papers; the first serves as an introduction to biology, which is now expanding into the science of the cosmos following the discovery of previously missing information, and the remaining 21 papers are divided into 3 sections entitled Modelling, Simulation and Optimization. The importance of theoretical approaches from physics, mathematics, and statistics underlying meta-heuristic methods, knowledge and approaches is acknowledged, and there is a chapter dedicated to deep learning. The book contributes to the exploration of various possible solutions to challenging problems in both the Earth’s geology and that of the cosmos, and will be of interest to all those working in the field.

Artificial Intelligence and Soft Computing – ICAISC 2008

Author : Leszek Rutkowski
Publisher : Springer
Page : 1275 pages
File Size : 29,72 MB
Release : 2008-06-19
Category : Computers
ISBN : 3540697314

GET BOOK

This book constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008. The 116 revised contributed papers presented were carefully reviewed and selected from 320 submissions. The papers are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification, rule discovery and clustering, image analysis, speech and robotics, bioinformatics and medical applications, various problems of artificial intelligence, and agent systems.