Fusion Of Qualitative Beliefs
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Enrichment Of Qualitative Beliefs For Reasoning Under Uncertainty
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Author : Xinde Li
language : en
Publisher: Infinite Study
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Enrichment Of Qualitative Beliefs For Reasoning Under Uncertainty written by Xinde Li 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 paper deals with enriched qualitative belief functions for reasoning under uncertainty and for combining information expressed in natural language through linguistic labels.
General Combination Rules For Qualitative And Quantitative Beliefs
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Author : ARNAUD MARTIN
language : en
Publisher: Infinite Study
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General Combination Rules For Qualitative And Quantitative Beliefs written by ARNAUD MARTIN 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.
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.
Combination Of Qualitative Information With 2 Tuple Linguistic Representation In Dezert Smarandache Theory
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Author : Xin-De Li
language : en
Publisher: Infinite Study
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Combination Of Qualitative Information With 2 Tuple Linguistic Representation In Dezert Smarandache Theory written by Xin-De Li 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.
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.
Qualitative Belief Conditioning Rules Qbcr
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Author : Florentin Smarandache
language : en
Publisher: Infinite Study
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Qualitative Belief Conditioning Rules Qbcr 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 with categories.
In this paper we extend the new family of (quantitative) Belief Conditioning Rules (BCR) recently developed in the Dezert-Smarandache Theory (DSmT) to their qualitative counterpart for belief revision.
An Introduction To Dsmt
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Author : Jean Dezert
language : en
Publisher: Infinite Study
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An Introduction To 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.
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving artificial reasoning.
Belief Functions Theory And Applications
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Author : Fabio Cuzzolin
language : en
Publisher: Springer
Release Date : 2014-09-05
Belief Functions Theory And Applications written by Fabio Cuzzolin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-05 with Computers categories.
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.
A Belief Combination Rule For A Large Number Of Sources
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Author : Kuang Zhou
language : en
Publisher: Infinite Study
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A Belief Combination Rule For A Large Number Of Sources written by Kuang 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 Business & Economics categories.
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.
Transformations Of Belief Masses Into Subjective Probabilities
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Author : Jean Dezert
language : en
Publisher: Infinite Study
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Transformations Of Belief Masses Into Subjective Probabilities 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.
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.
Analysis Of Dsm Belief Conditioning Rules And Extension Of Their Applicability
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Author : Milan Daniel
language : en
Publisher: Infinite Study
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Analysis Of Dsm Belief Conditioning Rules And Extension Of Their Applicability written by Milan Daniel 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.
Analysis of belief conditioning rules (BCRs) is presented in this chapter. Some simplifications of formulas for BCRs are suggested. A comparison of BCRs with classic rules of conditioning is performed. Finally, definition domains and applicability of BCRs are extended. Full formal definition of the extended version of BCR12 is presented.
Symbolic And Quantitative Approaches To Reasoning With Uncertainty
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Author : Khaled Mellouli
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-21
Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Khaled Mellouli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-21 with Computers categories.
This book constitutes the refereed proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2007, held in Hammammet, Tunisia, Oktober 31 - November 2, 2007. The 78 revised full papers presented together with 3 invited papers were carefully reviewed and selected from over hundret submissions for inclusion in the book. The papers are organized in topical sections on Bayesian networks, graphical models, learning causal networks, planning, causality and independence, preference modelling and decision, argumentation systems, inconsistency handling, belief revision and merging, belief functions, fuzzy models, many-valued logical systems, uncertainty logics, probabilistic reasoning, reasoning models under uncertainty, uncertainty measures, probabilistic classifiers, classification and clustering, and industrial applications.