Author : Deyun Zhou
Publisher : Infinite Study
Page : 20 pages
File Size : 27,56 MB
Release :
Category :
ISBN :
Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the problem of counter-intuitive outcomes by using classical Dempster-Shafer combination rule is still an open issue while fusing the conflicting evidences.
Author : Deyun Zhou
Publisher : Infinite Study
Page : 20 pages
File Size : 35,86 MB
Release :
Category :
ISBN :
Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the problem of counter-intuitive outcomes by using classical Dempster-Shafer combination rule is still an open issue while fusing the conflicting evidences. Many approaches based on discounted evidence and weighted average evidence have been investigated and have made significant improvements
Author :
Publisher : IOS Press
Page : 6097 pages
File Size : 17,16 MB
Release :
Category :
ISBN :
Author : Rüdiger J. Seitz
Publisher : Frontiers Media SA
Page : 238 pages
File Size : 45,78 MB
Release : 2023-07-27
Category : Science
ISBN : 2832529933
The concept of credition represents an innovative research field at the interface of the natural sciences and the humanities addressing the nature of beliefs and believing. Credition signifies the integrative information processing that is brought about by neurophysiologically defined neural activity in the brain affording decision making. In analogy to cognition and emotion it is mediated by neural processes and constrains behavior by predictive coding. Three categories of beliefs have been defined on the background of evolutionary biology that can be differentiated linguistically. The goal of the collection of research papers is to provide an interdisciplinary discourse on an international level in the emerging field of credition. On this basis individual, group-specific and cultural narratives of secular and non-secular origin can become normative, in particular, when enhanced by ritual acts. Also, the recently defined belief categories can pave the way for novel approaches of empirical research on the formation of civilizations and cultures as well as for new perspectives on the psychopathological understanding of mental disorders. The disciplines of empirical research such as cognitive science, neurophysiology, neuropsychology, social neuroscience shall counteract with theoretical disciplines such as anthropology, philosophy, and theology in order to elaborate premises that are suited to bridge the scientific gap. The potential contributors will submit their abstracts such that they are available for the International meeting, Credition - An Interdisciplinary Challenge, that is going to take place in October 2021 in Hannover, Germany. Following the symposium, the participants shall elaborate their perspective concerning beliefs and believing, based on their expertise, and the information they have learned during the symposium. The authors are expected to submit a concise paper of 2000 words (C Type Article).
Author : Fabio Cuzzolin
Publisher : Springer Nature
Page : 850 pages
File Size : 31,92 MB
Release : 2020-12-17
Category : Computers
ISBN : 3030631532
The principal aim of this book is to introduce to the widest possible audience an original view of belief calculus and uncertainty theory. In this geometric approach to uncertainty, uncertainty measures can be seen as points of a suitably complex geometric space, and manipulated in that space, for example, combined or conditioned. In the chapters in Part I, Theories of Uncertainty, the author offers an extensive recapitulation of the state of the art in the mathematics of uncertainty. This part of the book contains the most comprehensive summary to date of the whole of belief theory, with Chap. 4 outlining for the first time, and in a logical order, all the steps of the reasoning chain associated with modelling uncertainty using belief functions, in an attempt to provide a self-contained manual for the working scientist. In addition, the book proposes in Chap. 5 what is possibly the most detailed compendium available of all theories of uncertainty. Part II, The Geometry of Uncertainty, is the core of this book, as it introduces the author’s own geometric approach to uncertainty theory, starting with the geometry of belief functions: Chap. 7 studies the geometry of the space of belief functions, or belief space, both in terms of a simplex and in terms of its recursive bundle structure; Chap. 8 extends the analysis to Dempster’s rule of combination, introducing the notion of a conditional subspace and outlining a simple geometric construction for Dempster’s sum; Chap. 9 delves into the combinatorial properties of plausibility and commonality functions, as equivalent representations of the evidence carried by a belief function; then Chap. 10 starts extending the applicability of the geometric approach to other uncertainty measures, focusing in particular on possibility measures (consonant belief functions) and the related notion of a consistent belief function. The chapters in Part III, Geometric Interplays, are concerned with the interplay of uncertainty measures of different kinds, and the geometry of their relationship, with a particular focus on the approximation problem. Part IV, Geometric Reasoning, examines the application of the geometric approach to the various elements of the reasoning chain illustrated in Chap. 4, in particular conditioning and decision making. Part V concludes the book by outlining a future, complete statistical theory of random sets, future extensions of the geometric approach, and identifying high-impact applications to climate change, machine learning and artificial intelligence. The book is suitable for researchers in artificial intelligence, statistics, and applied science engaged with theories of uncertainty. The book is supported with the most comprehensive bibliography on belief and uncertainty theory.
Author : Fabio Cuzzolin
Publisher : Springer
Page : 460 pages
File Size : 41,92 MB
Release : 2014-09-05
Category : Computers
ISBN : 3319111914
This book constitutes the thoroughly refereed proceedings of the Third International Conference on Belief Functions, BELIEF 2014, held in Oxford, UK, in September 2014. The 47 revised full papers presented in this book were carefully selected and reviewed from 56 submissions. The papers are organized in topical sections on belief combination; machine learning; applications; theory; networks; information fusion; data association; and geometry.
Author : Eric Lefebvre
Publisher : IOS Press
Page : 412 pages
File Size : 38,10 MB
Release : 2007
Category : Business & Economics
ISBN : 1586037277
"Proceedings of the NATO Advanced Study Institute on Multisensor Data and Information Processing for Rapid and Robust Situation and Threat Assessment, Albena, Bulgaria, 16-27 May 2005"--T.p. verso.
Author : Sébastien Destercke
Publisher : Springer
Page : 291 pages
File Size : 42,55 MB
Release : 2018-09-07
Category : Computers
ISBN : 3319993836
This book constitutes the refereed proceedings of the 5th International Conference on Belief Functions, BELIEF 2018, held in Compiègne, France, in September 2018.The 33 revised regular papers presented in this book were carefully selected and reviewed from 73 submissions. The papers were solicited on theoretical aspects (including for example statistical inference, mathematical foundations, continuous belief functions) as well as on applications in various areas including classification, statistics, data fusion, network analysis and intelligent vehicles.
Author : Kuang Zhou
Publisher : Infinite Study
Page : 17 pages
File Size : 30,46 MB
Release :
Category : Mathematics
ISBN :
The theory of belief functions is widely used for data from multiple sources. Different evidence combination rules have been proposed in this framework according to the properties of the sources to combine. However, most of these combination rules are not efficient when there are a large number of sources. This is due to either the complexity or the existence of an absorbing element such as the total conflict mass function for the conjunctive based rules when applied on unreliable evidence. In this paper, based on the assumption that the majority of sources are reliable, a combination rule for a large number of sources is proposed using a simple idea: the more common ideas the sources share, the more reliable these sources are supposed to be.
Author : Florentin Smarandache
Publisher : Infinite Study
Page : 931 pages
File Size : 23,68 MB
Release :
Category : Mathematics
ISBN :
This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 (available at fs.unm.edu/DSmT-book4.pdf or www.onera.fr/sites/default/files/297/2015-DSmT-Book4.pdf) in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some theoretical advances on DSmT, dealing mainly with modified Proportional Conflict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classifiers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identification of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classification. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classification, and hybrid techniques mixing deep learning with belief functions as well.
