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A New Weighting Factor In Combining Belief Function
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Book Synopsis A new weighting factor in combining belief function by : Deyun Zhou
Download or read book A new weighting factor in combining belief function written by Deyun Zhou and published by Infinite Study. This book was released on with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis A new weighting factor in combining belief function by : Deyun Zhou
Download or read book A new weighting factor in combining belief function written by Deyun Zhou and published by Infinite Study. This book was released on with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Conflict Decision Method based on Quadratic Combination by : Xin Guan
Download or read book Conflict Decision Method based on Quadratic Combination written by Xin Guan and published by Infinite Study. This book was released on with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many unsatisfactory situations in the existing improvement methods of evidence theory, such as a large amount of calculation, the normalization process is unreasonable, the evidence combination effect is not ideal in the conflict evidence decision-making process, and so on. This paper proposes a method based on quadratic combination of conflict evidence to improve the above situations. Firstly, a new flow chart of conflict evidence decision method based on quadratic combination is proposed. Secondly, a new multiplicative normalization rule is proposed, and the new rule is analyzed to verify its rationality. Thirdly, the shortcomings of the existing conflict measurement methods are analyzed, a new conflict measurement function is proposed, and the rationality of the new function is analyzed. Finally, through the analysis of the example and comparison with the existing evidence combination rules, the effectiveness of the method of this paper is verified.
Author : Publisher :IOS Press ISBN 13 : Total Pages :6097 pages Book Rating :4./5 ( download)
Download or read book written by and published by IOS Press. This book was released on with total page 6097 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances and Challenges in Multisensor Data and Information Processing by : Eric Lefebvre
Download or read book Advances and Challenges in Multisensor Data and Information Processing written by Eric Lefebvre and published by IOS Press. This book was released on 2007 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis Belief Functions: Theory and Applications by : Fabio Cuzzolin
Download or read book Belief Functions: Theory and Applications written by Fabio Cuzzolin and published by Springer. This book was released on 2014-09-05 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Geometry of Uncertainty by : Fabio Cuzzolin
Download or read book The Geometry of Uncertainty written by Fabio Cuzzolin and published by Springer Nature. This book was released on 2020-12-17 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Expert Systems for Software Engineers and Managers by : S. David Hu
Download or read book Expert Systems for Software Engineers and Managers written by S. David Hu and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written for software engineers, software project leaders, and software managers who would like to introduce a new advanced software technology, expert systems, into their product. Expert system technology brings into programming a new dimension in which "rule of thumb" or heuristic expert knowledge is encoded in the program. In contrast to conventional procedural languages {e. g. , Fortran or C}, expert systems employ high-level programming languages {Le. , expert system shells} that enable us to capture the judgmental knowledge of experts such as geologists, doctors, lawyers, bankers, or insurance underwriters. Past expert systems have been more successfully applied in the problem areas of analysis and synthesis where the boundary of lo;nowledge is well defined and where experts are available and can be identified. Early successful applications include diagnosis systems such as MYCIN, geological systems such as PROSPECTOR, or design/configu ration systems such as XC ON. These early expert systems were mainly applicable to scientific and engineering problems, which are not theoreti cally well understood in terms of decisionmaking processes by their experts and which therefore require judgmental assessment. The more recent expert systems are being applied to sophisticated synthesis problems that involve a large number of choices, such as how the elements are to be compared. These problems normally entailed a large search space and slower speed for the expert systems designed. Examples of these systems include factory scheduling applications such as ISIS, or legal reasoning applications such as TAXMAN.
Book Synopsis Generalized combination rule for evidential reasoning approach and Dempster– Shafer theory of evidence by : Yuan-Wei Du
Download or read book Generalized combination rule for evidential reasoning approach and Dempster– Shafer theory of evidence written by Yuan-Wei Du and published by Infinite Study. This book was released on with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Dempster–Shafer (DS) theory of evidence can combine evidence with one parameter. The evidential reasoning (ER) approach is an extension of DS theory that can combine evidence with two parameters (weights and reliabilities). However, it has three infeasible aspects: reliability dependence, unreliability effectiveness, and intergeneration inconsistency.
Book Synopsis Credition - An Interdisciplinary Approach to the Nature of Beliefs and Believing by : Rüdiger J. Seitz
Download or read book Credition - An Interdisciplinary Approach to the Nature of Beliefs and Believing written by Rüdiger J. Seitz and published by Frontiers Media SA. This book was released on 2023-07-27 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).
Book Synopsis Proportional Conflict Redistribution Rules for Information Fusion by : Florentin Smarandache
Download or read book Proportional Conflict Redistribution Rules for Information Fusion written by Florentin Smarandache and published by Infinite Study. This book was released on with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this chapter we propose five versions of a Proportional Conflict Redistribution rule (PCR) for information fusion together with several examples.
Book Synopsis Belief Functions: Theory and Applications by : Sébastien Destercke
Download or read book Belief Functions: Theory and Applications written by Sébastien Destercke and published by Springer. This book was released on 2018-09-07 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis A belief combination rule for a large number of sources by : Kuang Zhou
Download or read book A belief combination rule for a large number of sources written by Kuang Zhou and published by Infinite Study. This book was released on with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. This rule is adaptable for aggregating a large number of sources which may not all be reliable. It will keep the spirit of the conjunctive rule to reinforce the belief on the focal elements with which the sources are in agreement. The mass on the empty set will be kept as an indicator of the conflict.
Book Synopsis Advances and Applications of DSmT for Information Fusion (Collected Works. Volume 5) by : Florentin Smarandache
Download or read book Advances and Applications of DSmT for Information Fusion (Collected Works. Volume 5) written by Florentin Smarandache and published by Infinite Study. This book was released on 2023-12-27 with total page 932 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. We want to thank all the contributors of this fifth volume for their research works and their interests in the development of DSmT, and the belief functions. We are grateful as well to other colleagues for encouraging us to edit this fifth volume, and for sharing with us several ideas and for their questions and comments on DSmT through the years. We thank the International Society of Information Fusion (www.isif.org) for diffusing main research works related to information fusion (including DSmT) in the international fusion conferences series over the years. Florentin Smarandache is grateful to The University of New Mexico, U.S.A., that many times partially sponsored him to attend international conferences, workshops and seminars on Information Fusion. Jean Dezert is grateful to the Department of Information Processing and Systems (DTIS) of the French Aerospace Lab (Office National d’E´tudes et de Recherches Ae´rospatiales), Palaiseau, France, for encouraging him to carry on this research and for its financial support. Albena Tchamova is first of all grateful to Dr. Jean Dezert for the opportunity to be involved during more than 20 years to follow and share his smart and beautiful visions and ideas in the development of the powerful Dezert-Smarandache Theory for data fusion. She is also grateful to the Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, for sponsoring her to attend international conferences on Information Fusion.
Book Synopsis Belief Functions: Theory and Applications by : Thierry Denœux
Download or read book Belief Functions: Theory and Applications written by Thierry Denœux and published by Springer Nature. This book was released on 2021-10-12 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Belief Functions, BELIEF 2021, held in Shanghai, China, in October 2021. The 30 full papers presented in this book were carefully selected and reviewed from 37 submissions. The papers cover a wide range on theoretical aspects on mathematical foundations, statistical inference as well as on applications in various areas including classification, clustering, data fusion, image processing, and much more.
Book Synopsis Automation Challenges of Socio-technical Systems by : Frederic Vanderhaegen
Download or read book Automation Challenges of Socio-technical Systems written by Frederic Vanderhaegen and published by John Wiley & Sons. This book was released on 2019-07-10 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The challenges of automating socio-technical systems are strongly linked to the strengths and limitations of technical and human resources, such as perceptual characteristics, cooperative capacities, job-sharing arrangements, modeling of human behavior and the contribution of innovative design approaches. Automation Challenges of Socio-technical Systems exposes the difficulties in implementing and sustaining symbiosis between humans and machines in both the short and long terms. Furthermore, it presents innovative solutions for achieving such symbiosis, drawing on skills from cognitive sciences, engineering sciences and the social sciences. It is aimed at researchers, academics and engineers in these fields.
Book Synopsis Machine Learning and Data Mining in Pattern Recognition by : Petra Perner
Download or read book Machine Learning and Data Mining in Pattern Recognition written by Petra Perner and published by Springer. This book was released on 2012-07-02 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.
