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A New Weighting Factor In Combining Belief Function

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A New Weighting Factor In Combining Belief Function

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Author : Deyun Zhou
language : en
Publisher: Infinite Study
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A New Weighting Factor In Combining Belief Function written by Deyun Zhou and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

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.

A New Weighting Factor In Combining Belief Function

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Author : Deyun Zhou
language : en
Publisher: Infinite Study
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language : en
Publisher: IOS Press
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written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

A Tapestry Of Thought Smarandache S Contributions To Knowledge And Artistic Expression An Exploration Of Smarandache S World Where Science Meets Creativity

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Author : Dan Florin Lazăr
language : en
Publisher: Infinite Study
Release Date : 2024-12-10

A Tapestry Of Thought Smarandache S Contributions To Knowledge And Artistic Expression An Exploration Of Smarandache S World Where Science Meets Creativity written by Dan Florin Lazăr and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Biography & Autobiography categories.

This volume offers readers a brief yet enriching journey into the interdisciplinary realm of captivating ideas articulated by Florentin Smarandache throughout his career. More than five decades ago, Smarandache embarked on a remarkable scientific and cultural odyssey, challenging established boundaries and redefining the connection between diverse fields of knowledge and creativity. By blurring conventional lines, Smarandache’s work seamlessly bridges science, literature, art, and philosophy, creating a fusion that sparks innovation. His contributions stand at the intersection of exploration, where logic converges with imagination, and creativity propels new frontiers of thought. Smarandache’s work transcends traditional disciplines, composing a creative symphony of knowledge that resonates across a large spectrum of human understanding. From groundbreaking theories in mathematics and physics to bold contributions in literature and the arts, his endeavor exemplifies the power of interdisciplinary thinking. While this particular volume offers a glimpse into his multifaceted career, it is important to note that it does not fully capture the breadth of Smarandache’s contributions. This book honors Smarandache’s 70th anniversary, celebrating his vast and multifaceted achievements—a visionary whose ideas continue to push the boundaries of what is possible when deep scientific knowledge and boundless creativity converge.

Belief Functions Theory And Applications

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Author : Sébastien Destercke
language : en
Publisher: Springer
Release Date : 2018-09-07

Belief Functions Theory And Applications written by Sébastien Destercke and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-07 with Computers categories.

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.

Generalized Combination Rule For Evidential Reasoning Approach And Dempster Shafer Theory Of Evidence

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Author : Yuan-Wei Du
language : en
Publisher: Infinite Study
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Generalized Combination Rule For Evidential Reasoning Approach And Dempster Shafer Theory Of Evidence written by Yuan-Wei Du and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.

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.

Advances And Applications Of Dsmt For Information Fusion Collected Works Volume 5

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Author : Florentin Smarandache
language : en
Publisher: Infinite Study
Release Date : 2023-12-27

Advances And Applications Of Dsmt For Information Fusion Collected Works Volume 5 written by Florentin Smarandache and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-27 with Biography & Autobiography categories.

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.

Presentation Of Dsmt

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Author : Jean Dezert
language : en
Publisher: Infinite Study
Release Date :

Presentation Of Dsmt written by Jean Dezert and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

This chapter presents a general overview and foundations of the DSmT, i.e. the recent theory of plausible and paradoxical reasoning developed by the authors, specially for the static or dynamic fusion of information arising from several independent but potentially highly conﬂicting, uncertain and imprecise sources of evidence.

Advances And Applications Of Dsmt For Information Fusion Vol Iv

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Author : Florentin Smarandache, Jean Dezert
language : en
Publisher: Infinite Study
Release Date : 2015-03-01

Advances And Applications Of Dsmt For Information Fusion Vol Iv written by Florentin Smarandache, Jean Dezert and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-01 with categories.

The fourth volume on Advances and Applications of Dezert-Smarandache Theory (DSmT) for information fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics. The contributions (see List of Articles published in this book, at the end of the volume) have been published or presented after disseminating the third volume (2009, http://fs.gallup.unm.edu/DSmT-book3.pdf) ininternational conferences, seminars, workshops and journals.

Uncertainty In Artificial Intelligence

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Author : Didier J. Dubois
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-05-12

Uncertainty In Artificial Intelligence written by Didier J. Dubois and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Computers categories.

Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference (1992) covers the papers presented at the Eighth Conference on Uncertainty in Artificial Intelligence, held at Stanford University on July 17-19, 1992. The book focuses on the processes, methodologies, technologies, and approaches involved in artificial intelligence. The selection first offers information on Relative Evidential Support (RES), modal logics for qualitative possibility and beliefs, and optimizing causal orderings for generating DAGs from data. Discussions focus on reversal, swap, and unclique operators, modal representation of possibility, and beliefs and conditionals. The text then examines structural controllability and observability in influence diagrams, lattice-based graded logic, and dynamic network models for forecasting. The manuscript takes a look at reformulating inference problems through selective conditioning, entropy and belief networks, parallelizing probabilistic inference, and a symbolic approach to reasoning with linguistic quantifiers. The text also ponders on sidestepping the triangulation problem in Bayesian net computations; exploring localization in Bayesian networks for large expert systems; and expressing relational and temporal knowledge in visual probabilistic networks. The selection is a valuable reference for researchers interested in artificial intelligence.

A New Weighting Factor In Combining Belief Function

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