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Enrichment Of Qualitative Beliefs For Reasoning Under Uncertainty
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Book Synopsis Enrichment of Qualitative Beliefs for Reasoning under Uncertainty by : Xinde Li
Download or read book Enrichment of Qualitative Beliefs for Reasoning under Uncertainty written by Xinde Li and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper deals with enriched qualitative belief functions for reasoning under uncertainty and for combining information expressed in natural language through linguistic labels.
Book Synopsis Qualitative Methods for Reasoning Under Uncertainty by : Simon Parsons
Download or read book Qualitative Methods for Reasoning Under Uncertainty written by Simon Parsons and published by MIT Press. This book was released on 2001 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using qualitative methods to deal with imperfect information.
Book Synopsis Fusion of imprecise qualitative information by : Xinde Li
Download or read book Fusion of imprecise qualitative information written by Xinde Li and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we present a new 2-tuple linguistic representation model, i.e. Distribution Function Model (DFM), for combining imprecise qualitativeinformation using fusion rules drawn from Dezert-Smarandache Theory (DSmT) framework.
Book Synopsis General Combination Rules for Qualitative and Quantitative Beliefs by : ARNAUD MARTIN
Download or read book General Combination Rules for Qualitative and Quantitative Beliefs written by ARNAUD MARTIN and published by Infinite Study. This book was released on with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: Martin and Osswald have recently proposed many generalizations of combination rules on quantitative beliefs in order to manage the conflict and to consider the specificity of the responses of the experts. Since the experts express themselves usually in natural language with linguistic labels, Smarandache and Dezert have introduced a mathematical framework for dealing directly also with qualitative beliefs. In this paper we recall some element of our previous works and propose the new combination rules, developed for the fusion of both qualitative or quantitative beliefs.
Book Synopsis Transformations of belief masses into subjective probabilities by : Jean Dezert
Download or read book Transformations of belief masses into subjective probabilities written by Jean Dezert and published by Infinite Study. This book was released on with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this chapter, we propose in the DSmT framework, a new probabilistic transformation, called DSmP, in order to build a subjective probability measure from any basic belief assignment defined on any model of the frame of discernment. Several examples are given to show how the DSmP transformation works and we compare it to main existing transformations proposed in the literature so far. We show the advantages of DSmP over classical transformations in term of Probabilistic Information Content (PIC). The direct extension of this transformation for dealing with qualitative belief assignments is also presented. This theoretical work must increase the performances of DSmT-based hard-decision based systems as well as in soft-decision based systems in many fields where it could be used, i.e. in biometrics, medicine, robotics, surveillance and threat assessment, multisensor-multitarget tracking for military and civilian applications, etc.
Book Synopsis Fusion of qualitative information using imprecise 2 -tuple labels by : Xinde Li
Download or read book Fusion of qualitative information using imprecise 2 -tuple labels written by Xinde Li and published by Infinite Study. This book was released on with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this chapter, Herrera-Martınez 2-tuple linguistic representation model is extended for combining imprecise qualitative information using fusion rules drawn from Dezert-Smarandache Theory (DSmT) or from Dempster-Shafer Theory (DST) frameworks.
Book Synopsis Advances and Applications of DSmT for Information Fusion, Vol. 3 by : Florentin Smarandache
Download or read book Advances and Applications of DSmT for Information Fusion, Vol. 3 written by Florentin Smarandache and published by Infinite Study. This book was released on 2004 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume has about 760 pages, split into 25 chapters, from 41 contributors. First part of this book presents advances of Dezert-Smarandache Theory (DSmT) which is becoming one of the most comprehensive and flexible fusion theory based on belief functions. It can work in all fusion spaces: power set, hyper-power set, and super-power set, and has various fusion and conditioning rules that can be applied depending on each application. Some new generalized rules are introduced in this volume with codes for implementing some of them. For the qualitative fusion, the DSm Field and Linear Algebra of Refined Labels (FLARL) is proposed which can convert any numerical fusion rule to a qualitative fusion rule. When one needs to work on a refined frame of discernment, the refinement is done using Smarandache¿s algebraic codification. New interpretations and implementations of the fusion rules based on sampling techniques and referee functions are proposed, including the probabilistic proportional conflict redistribution rule. A new probabilistic transformation of mass of belief is also presented which outperforms the classical pignistic transformation in term of probabilistic information content. The second part of the book presents applications of DSmT in target tracking, in satellite image fusion, in snow-avalanche risk assessment, in multi-biometric match score fusion, in assessment of an attribute information retrieved based on the sensor data or human originated information, in sensor management, in automatic goal allocation for a planetary rover, in computer-aided medical diagnosis, in multiple camera fusion for tracking objects on ground plane, in object identification, in fusion of Electronic Support Measures allegiance report, in map regenerating forest stands, etc.
Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Salem Benferhat
Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Salem Benferhat and published by Springer. This book was released on 2003-06-30 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2001, held in Toulouse, France in September 2001. The 68 revised full papers presented together with three invited papers were carefully reviewed and selected from over a hundred submissions. The book offers topical sections on decision theory, partially observable Markov decision processes, decision-making, coherent probabilities, Bayesian networks, learning causal networks, graphical representation of uncertainty, imprecise probabilities, belief functions, fuzzy sets and rough sets, possibility theory, merging, belief revision and preferences, inconsistency handling, default logic, logic programming, etc.
Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Jiřina Vejnarová
Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Jiřina Vejnarová and published by Springer Nature. This book was released on 2021-09-21 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2021, held in Prague, Czech Republic, in September 2021. The 48 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections about argumentation and analogical reasoning, Bayesian networks and graphical models, belief functions, imprecise probability, inconsistency handling and preferences, possibility theory and fuzzy approaches, and probability logic.
Book Synopsis Combination of Qualitative Information with 2-Tuple Linguistic Representation in Dezert-Smarandache Theory by : Xin-De Li
Download or read book Combination of Qualitative Information with 2-Tuple Linguistic Representation in Dezert-Smarandache Theory written by Xin-De Li and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern systems for information retrieval, fusion and management need to deal more and more with information coming from human experts usually expressed qualitatively in natural language with linguistic labels.
Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Lluis Godo
Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Lluis Godo and published by Springer Science & Business Media. This book was released on 2005-06-24 with total page 1043 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 with total page 931 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.
Author :Bernadette Bouchon-Meunier Publisher :Springer Science & Business Media ISBN 13 :9783540601166 Total Pages :648 pages Book Rating :4.6/5 (11 download)
Book Synopsis Advances in Intelligent Computing - IPMU '94 by : Bernadette Bouchon-Meunier
Download or read book Advances in Intelligent Computing - IPMU '94 written by Bernadette Bouchon-Meunier and published by Springer Science & Business Media. This book was released on 1995-06-26 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a topical selection of full refereed research papers presented during the 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU '94, held in Paris, France in July 1994. The topical focus is on the role of uncertainty in the contruction of intelligent computing systems and it is shown how the concepts of AI, neural networks, and fuzzy logic can be utilized for that purpose. In total, there are presented 63 thoroughly revised papers organized in sections on fundamental issues; theory of evidence; networks, probabilistic, statistical, and informational methods; possibility theory, logics, chaos, reusability, and applications.
Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Weiru Liu
Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Weiru Liu and published by Springer. This book was released on 2011-06-25 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011, held in Belfast, UK, in June/July 2011. The 60 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on argumentation; Bayesian networks and causal networks; belief functions; belief revision and inconsistency handling; classification and clustering; default reasoning and logics for reasoning under uncertainty; foundations of reasoning and decision making under uncertainty; fuzzy sets and fuzzy logic; implementation and applications of uncertain systems; possibility theory and possibilistic logic; and uncertainty in databases.
Book Synopsis Symbolic and Quantitative Approaches to Reasoning and Uncertainty by :
Download or read book Symbolic and Quantitative Approaches to Reasoning and Uncertainty written by and published by . This book was released on 2005 with total page 1060 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Symbolic and Quantitative Approaches to Reasoning and Uncertainty by : Michael Clarke
Download or read book Symbolic and Quantitative Approaches to Reasoning and Uncertainty written by Michael Clarke and published by Springer Science & Business Media. This book was released on 1993-10-20 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years it has become apparent that an important part of the theory of artificial intelligence is concerned with reasoning on the basis of uncertain, incomplete, or inconsistent information. A variety of formalisms have been developed, including nonmonotonic logic, fuzzy sets, possibility theory, belief functions, and dynamic models of reasoning such as belief revision and Bayesian networks. Several European research projects have been formed in the area and the first European conference was held in 1991. This volume contains the papers accepted for presentation at ECSQARU-93, the European Conference on Symbolicand Quantitative Approaches to Reasoning and Uncertainty, held at the University of Granada, Spain, November 8-10, 1993.
Author :Carlos Pinto-Ferreira Publisher :Springer Science & Business Media ISBN 13 :9783540604280 Total Pages :508 pages Book Rating :4.6/5 (42 download)
Book Synopsis Progress in Artificial Intelligence by : Carlos Pinto-Ferreira
Download or read book Progress in Artificial Intelligence written by Carlos Pinto-Ferreira and published by Springer Science & Business Media. This book was released on 1995-09-22 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the 7th Portuguese Conference on Artificial Intelligence, EPIA'95, held in Funchal, Madeira Island, Portugal, in October 1995. The 30 revised full papers and the 15 poster presentations included were selected during a highly competitive selection process from a total of 167 submissions from all over the world. Among the topics covered are automated reasoning and theorem proving, belief revision, constraint-based reasoning, distributed artificial intelligence, genetic algorithms, machine learning, neural networks, non-monotonic reasoning, planning and case-based reasoning, qualitative reasoning, robotics and control, and theory of computation.
