Author: Deyun Zhou Publisher: Infinite Study ISBN: Category : Languages : en Pages : 20
Book Description
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 ISBN: Category : Languages : en Pages : 20
Book Description
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: Xin Guan Publisher: Infinite Study ISBN: Category : Mathematics Languages : en Pages : 16
Book Description
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: Category : Languages : en Pages : 6097
Author: Eric Lefebvre Publisher: IOS Press ISBN: 1586037277 Category : Business & Economics Languages : en Pages : 412
Book Description
"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: Fabio Cuzzolin Publisher: Springer ISBN: 3319111914 Category : Computers Languages : en Pages : 450
Book Description
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: Fabio Cuzzolin Publisher: Springer Nature ISBN: 3030631532 Category : Computers Languages : en Pages : 850
Book Description
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: S. David Hu Publisher: Springer Science & Business Media ISBN: 1461310652 Category : Science Languages : en Pages : 302
Book Description
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.
Author: Yuan-Wei Du Publisher: Infinite Study ISBN: Category : Mathematics Languages : en Pages : 40
Book Description
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.
Author: Rüdiger J. Seitz Publisher: Frontiers Media SA ISBN: 2832529933 Category : Science Languages : en Pages : 238
Book Description
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: Deyun Zhou 
Author: Deyun Zhou
Author: Xin Guan
Author: 
Author: Eric Lefebvre
Author: Fabio Cuzzolin
Author: Fabio Cuzzolin
Author: S. David Hu
Author: Yuan-Wei Du
Author: Rüdiger J. Seitz