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Dissertations / Theses on the topic 'Extended Dempster Shafer theory'

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Published: 4 June 2025
Last updated: 1 August 2025

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1

Iourinski, Dmitri. "A Dempster-Shafer theory inspired logic." Thesis, Middlesex University, 2008. http://eprints.mdx.ac.uk/6550/.

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Issues of formalising and interpreting epistemic uncertainty have always played a prominent role in Artificial Intelligence. The Dempster-Shafer (DS) theory of partial beliefs is one of the most-well known formalisms to address the partial knowledge. Similarly to the DS theory, which is a generalisation of the classical probability theory, fuzzy logic provides an alternative reasoning apparatus as compared to Boolean logic. Both theories are featured prominently within the Artificial Intelligence domain, but the unified framework accounting for all the aspects of imprecise knowledge is yet to
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2

Wilson, Peter Nicholas. "Some theoretical aspects of the Dempster-Shafer theory." Thesis, Oxford Brookes University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387603.

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3

Chakeri, Alireza. "Scalable Clustering Using the Dempster-Shafer Theory of Evidence." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6478.

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Clustering large data sets has become very important as the amount of available unlabeled data increases. Single Pass Fuzzy C-Means (SPFCM) is useful when memory is too limited to load the whole data set. The main idea is to divide dataset into several chunks and to apply fuzzy c-means (FCM) to each chunk. SPFCM uses the weighted cluster centers of the previous chunk in the next data chunks. However, when the number of chunks is increased, the algorithm shows sensitivity to the order in which the data is processed. Hence, we improved SPFCM by recognizing boundary and noisy data in each chunk a
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4

Froese, Thomas Michael. "Implementing Dempster-Shafer theory for inexact reasoning in expert systems." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/28383.

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The work described in this thesis stems from the idea that expert systems should be able to accurately and appropriately handle uncertain information. The traditional approaches to dealing with uncertainty are discussed and are shown to contain many inadequacies. The Dempster-Shafer, or D-S, theory of evidence is proposed as an appealing theoretical basis for representing uncertain knowledge and for performing inexact reasoning in expert systems. The D-S theory is reviewed in some detail; including its approaches to representing concepts, to representing belief, to combining belief and to per
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5

Tong, Zheng. "Evidential deep neural network in the framework of Dempster-Shafer theory." Thesis, Compiègne, 2022. http://www.theses.fr/2022COMP2661.

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Les réseaux de neurones profonds (DNN) ont obtenu un succès remarquable sur de nombreuses applications du monde réel (par exemple, la reconnaissance de formes et la segmentation sémantique), mais sont toujours confrontés au problème de la gestion de l'incertitude. La théorie de Dempster-Shafer (DST) fournit un cadre bien fondé et élégant pour représenter et raisonner avec des informations incertaines. Dans cette thèse, nous avons proposé un nouveau framework utilisant DST et DNNs pour résoudre les problèmes d'incertitude. Dans le cadre proposé, nous hybridons d'abord DST et DNN en branchant un
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6

Branley, William C. Jr. "Modeling observation in intelligent agents knowledge and belief /." Thesis, Monterey, Calif. : Naval Postgraduate School, 1992. http://handle.dtic.mil/100.2/ADA248348.

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Thesis (M.S. in Information Systems)--Naval Postgraduate School, March 1992.<br>Thesis Advisor: Bhargava, Hemant. "March 1992." Description based on title screen as viewed on March 4, 2009. Includes bibliographical references (p. 71-72). Also available in print.
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7

Zargar, Yaghoobi Amin H. "Handling uncertainty in hydrologic analysis and drought risk assessment using Dempster-Shafer theory." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43814.

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The aim of this thesis is to enhance some of the hydrologic analyses involved in drought risk assessment (DRA) to uncertainty-driven analyses therefore improving the accuracy and informativeness of DRA. In DRA, risk, or the expected loss from drought hazard is estimated by integrating the magnitude of hazard (i.e., drought severity) with vulnerability (i.e., susceptibility to losses from drought). Most hydrologic analyses including DRA are traditionally performed in a deterministic setting, ignoring data quality and uncertainty issues. Uncertainty can affect the accuracy of modeling results an
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8

Bi, Yaxin. "Combining multiple classifiers for text categorization using the Dempster-Shafer theory of evidence." Thesis, University of Ulster, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.412134.

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9

MacDermott, A. M. "Collaborative intrusion detection in federated cloud environments using Dempster-Shafer theory of evidence." Thesis, Liverpool John Moores University, 2017. http://researchonline.ljmu.ac.uk/7609/.

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Moving services to the Cloud environment is a trend that has been increasing in recent years, with a constant increase in sophistication and complexity of such services. Today, even critical infrastructure operators are considering moving their services and data to the Cloud. As Cloud computing grows in popularity, new models are deployed to further the associated benefits. Federated Clouds are one such concept, which are an alternative for companies reluctant to move their data out of house to a Cloud Service Providers (CSP) due to security and confidentiality concerns. Lack of collaboration
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10

Kronprasert, Nopadon. "Reasoning for Public Transportation Systems Planning: Use of Dempster-Shafer Theory of Evidence." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26538.

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Policy-makers of todayâ s public transportation investment projects engage in debates in which the reasonableness and clarity of their judgment are tested many times. How to recommend the transportation system that achieves projectâ s goals and different stakeholdersâ needs in a most logical and justifiable manner is the main question of this dissertation. This study develops a new decision-making approach, Belief Reasoning method, for evaluating public transportation systems in the planning process. The proposed approach applies a reasoning map to model how experts perceive and reason
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11

Luo, Wuben. "A comparative assessment of Dempster-Shafer and Bayesian belief in civil engineering applications." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/28500.

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The Bayesian theory has long been the predominate method in dealing with uncertainties in civil engineering practice including water resources engineering. However, it imposes unnecessary restrictive requirements on inferential problems. Concerns thus arise about the effectiveness of using Bayesian theory in dealing with more general inferential problems. The recently developed Dempster-Shafer theory appears to be able to surmount the limitations of Bayesian theory. The new theory was originally proposed as a pure mathematical theory. A reasonable amount of work has been done in trying to adop
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12

Mousavi, Seyedeh Roghayeh [Verfasser]. "Dempster-shafer theory and modified rules to determine uncertainty in mineral prospection / Seyedeh Roghayeh Mousavi." Clausthal-Zellerfeld : Universitätsbibliothek Clausthal, 2012. http://d-nb.info/1019265132/34.

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13

Lockshin, Sam. "Spatial characterization of Western Interior Seaway paleoceanography using foraminifera, fuzzy sets and Dempster-Shafer theory." Bowling Green State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1462803004.

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14

Jing, Xueyan. "Innovative Two-Stage Fuzzy Classification for Unknown Intrusion Detection." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2436.

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Intrusion detection is the essential part of network security in combating against illegal network access or malicious cyberattacks. Due to the constantly evolving nature of cyber attacks, it has been a technical challenge for an intrusion detection system (IDS) to effectively recognize unknown attacks or known attacks with inadequate training data. Therefore in this dissertation work, an innovative two-stage classifier is developed for accurately and efficiently detecting both unknown attacks and known attacks with insufficient or inaccurate training information. The novel two-stage fuzzy cla
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15

Mensah, Stephen A. "Sensor fusion and civil infrastructure systems." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 175 p, 2007. http://proquest.umi.com/pqdlink?did=1251904761&Fmt=7&clientId=79356&RQT=309&VName=PQD.

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16

Liao, Jing. "Combining sensors for activity recognition with uncertainty in Smart homes using Dempster-Shafer theory of evidence." Thesis, Ulster University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.593879.

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A population rapidly aging is a global problem. To meet the requirement of assistant living services for elderly person with a reasonable cost, one possible solution is through technology and the Smart Home, which is the main driving vision. Within the research community of Smart Homes, using multi-type sensors to monitor the resident daily activities has attracted more attention. This PhD project aims to build a set of evidential reasoning algorithms to integrate multi-sensor information for recognising human daily activities and to minimise the effect of uncertainty within data generated Sma
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17

Elkin, Colin P. "Development of Novel Computational Algorithms for Localization in Wireless Sensor Networks through Incorporation of Dempster-Shafer Evidence Theory." University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1437653854.

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18

Balch, Michael Scott. "Methods for Rigorous Uncertainty Quantification with Application to a Mars Atmosphere Model." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/30115.

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The purpose of this dissertation is to develop and demonstrate methods appropriate for the quantification and propagation of uncertainty in large, high-consequence engineering projects. The term "rigorous uncertainty quantification" refers to methods equal to the proposed task. The motivating practical example is uncertainty in a Mars atmosphere model due to the incompletely characterized presence of dust. The contributions made in this dissertation, though primarily mathematical and philosophical, are driven by the immediate needs of engineers applying uncertainty quantification in the field
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19

Sooriyaarachchi, Wickramaratna Kasun Jayamal. "DS-ARM: An Association Rule Based Predictor that Can Learn from Imperfect Data." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_dissertations/159.

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Over the past decades, many industries have heavily spent on computerizing their work environments with the intention to simplify and expedite access to information and its processing. Typical of real-world data are various types of imperfections, uncertainties, ambiguities, that have complicated attempts at automated knowledge discovery. Indeed, it soon became obvious that adequate methods to deal with these problems were critically needed. Simple methods such as "interpolating" or just ignoring data imperfections being found often to lead to inferences of dubious practical value, the search
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20

Murtha, Justin Fortna. "An Evidence Theoretic Approach to Design of Reliable Low-Cost UAVs." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/33762.

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Small unmanned aerial vehicles (SUAVs) are plagued by alarmingly high failure rates. Because these systems are small and built at lower cost than full-scale aircraft, high quality components and redundant systems are often eschewed to keep production costs low. This thesis proposes a process to ``design in'' reliability in a cost-effective way. Fault Tree Analysis is used to evaluate a system's (un)reliability and Dempster-Shafer Theory (Evidence Theory) is used to deal with imprecise failure data. Three unique sensitivity analyses highlight the most cost-effective improvement for the syst
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21

Wickramarathne, Thanuka Lakmal. "A Belief Theoretic Approach for Automated Collaborative Filtering." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_theses/182.

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WICKRAMARATHNE, T. L. (M.S., Electrical and Computer Engineering) A Belief Theoretic Approach for Automated Collaborative Filtering (May 2008) Abstract of a thesis at the University of Miami. Thesis supervised by Professor Kamal Premaratne. No. of pages in text. (84) Automated Collaborative Filtering (ACF) is one of the most successful strategies available for recommender systems. Application of ACF in more sensitive and critical applications however has been hampered by the absence of better mechanisms to accommodate imperfections (ambiguities and uncertainties in ratings, missing ratings
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22

Halstead, Michael A. "Locating people in video surveillance from semantic descriptions." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/112818/1/Michael_Halstead_Thesis.pdf.

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This PhD research developed new approaches to locate individuals in surveillance footage from a semantically describable target description. Investigations in this programme focused on the use of soft biometrics such as clothing colours and patterns, and height as traits to locate a target subject in video. This facilitated the introduction of techniques able to reduce the impact on human operators in surveillance settings.
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23

Rey, Vítor Fortes. "An ontology-driven evidence theory method for activity recognition." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/134325.

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O reconhecimento de atividaes é vital no contexto dos ambientes inteligentes. Mesmo com a facilidade de acesso a sensores móveis baratos, reconhecer atividades continua sendo um problema difícil devido à incerteza nas leituras dos sensores e à complexidade das atividades. A teoria da evidência provê um modelo de reconhecimento de atividades que detecta atividades mesmo na presença de incerteza nas leituras dos sensores, mas ainda não é capaz de modelar atividades complexas ou mudanças na configuração dos sensores ou do ambiente. Este trabalho propõe combinar abordagens baseadas em modelagem de
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24

Chatalic, Philippe. "Raisonnement deductif en presence de connaissances imprecises et incertaines : un systeme base sur la theorie de dempster-shafer." Toulouse 3, 1986. http://www.theses.fr/1986TOU30189.

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Ce memoire s'interesse aux approches quantitatives permettant de modeliser les notions d'incertitude et d'imprecision, dans les methodes de raisonnement automatiques. La premiere partie donne une vue d'ensemble des outils actuels, permettant de representer et manipuler des connaissances imprecises ou incertaines. La seconde partie a pour cadre general, celui des fonctions de croyances de shafer qui presente l'avantage d'englober les cadres propabiliste et possibliste comme cas particuliers
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25

Silva, Kátia Cilene Neles da. "Monitoramento da saúde humana através de sensores: análise de incertezas contextuais através da teoria da evidência de Dempster-Shafer." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-01082013-160349/.

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O monitoramento remoto da saúde humana envolve basicamente o emprego da tecnologia de rede de sensores como meio de captura dos dados do paciente em observação e todo ambiente em que este se encontra. Esta tecnologia favorece o monitoramento remoto de pacientes com doenças cardíacas, com problemas respiratórios, com complicações pós-operatórias e ainda pessoas em tratamento residencial, dentre outros. Um importante elemento dos sistemas de monitoramento remoto da saúde é a sua capacidade de interagir com o meio no qual está inserido possibilitando-lhe, por exemplo, agir como provedor de inform
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26

Chavez, Garcia Ricardo Omar. "Multiple sensor fusion for detection, classification and tracking of moving objects in driving environments." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM034/document.

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Les systèmes avancés d'assistance au conducteur (ADAS) aident les conducteurs à effectuer des tâches de conduite complexes et à éviter ou atténuer les situations dangereuses. Le véhicule détecte le monde extérieur au moyen de capteurs, et ensuite construit et met à jour un modèle interne de la configuration de l'environnement. La perception de véhicule consiste à établir des relations spatiales et temporelles entre le véhicule et les obstacles statiques et mobiles dans l'environnement. Cette perception se compose de deux tâches principales : la localisation et cartographie simultanées (SLAM) t
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27

Annamdas, Kiran Kumar Kishore. "Evidence Based Uncertainty Models and Particles Swarm Optimization for Multiobjective Optimization of Engineering Systems." Scholarly Repository, 2009. http://scholarlyrepository.miami.edu/oa_dissertations/470.

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The present work develops several methodologies for solving engineering analysis and design problems involving uncertainties and evidences from multiple sources. The influence of uncertainties on the safety/failure of the system and on the warranty costs (to the manufacturer) are also investigated. Both single and multiple objective optimization problems are considered. A methodology is developed to combine the evidences available from single or multiple sources in the presence (or absence) of credibility information of the sources using modified Dempster Shafer Theory (DST) and Fuzzy Theory i
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Hewawasam, Kottigoda K. Rohitha G. "Model Based Learning and Reasoning from Partially Observed Data." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_dissertations/112.

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Management of data imprecision has become increasingly important, especially with the advance of technology enabling applications to collect and store huge amount data from multiple sources. Data collected in such applications involve a large number of variables and various types of data imperfections. These data, when used in knowledge discovery applications, require the following: 1) computationally efficient algorithms that works faster with limited resources, 2) an effective methodology for modeling data imperfections and 3) procedures for enabling knowledge discovery and quantifying and p
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29

Chebbah, Mouna. "Source independence in the theory of belief functions." Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1S032/document.

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La fusion d'informations issues de plusieurs sources cherche à améliorer la prise de décision. Pour réaliser cette fusion, la théorie des fonctions de croyance utilise des règles de combinaison faisant bien souvent l'hypothèse de l'indépendance des sources. Cette forte hypothèse n'est, cependant, ni formalisée ni vérifiée. Elle est supposée pour justifier le choix du type de règles à utiliser sans avoir, pour autant, un moyen de la vérifier. Nous proposons dans ce rapport de thèse un apprentissage de l'indépendance cognitive de sources d'information. Nous détaillons également une approche d'ap
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30

Mroueh, Dit Injibar Mohamed. "Classification évidentielle mono- et multi-label : application à la détection de maladies cardio-vasculaires." Thesis, Troyes, 2021. http://www.theses.fr/2021TROY0011.

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Cette thèse porte sur la détection de maladies cardio-vasculaires grâce à la surveillance de signaux physiologiques. L’objectif est de développer des approches de classification mono- et multi-label, basées sur la théorie des fonctions de croyance, pour prédire ou diagnostiquer une complication liée à une ou plusieurs maladies cardio-vasculaires. D’abord, une approche proposant une extraction de paramètres et une modélisation de l'information dans un cadre évidentiel est développée pour prédire la fibrillation atriale, une arythmie cardiaque. Une extension de cette approche utilise une option
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31

Tengku, Mohd Azahar Tuan Dir. "Génération de prédiction par la combinaison de fusion de données et de modélisation spatio-temporelle : application à la localisation de la répartition de la maladie basal stem rot dans les plantations de palmiers à huile." Thesis, La Rochelle, 2012. http://www.theses.fr/2012LAROS386.

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Cette thèse constitue une nouvelle approche pour la prédiction des maladies des plantes dans une plantation par combinaison de fusion de données et modélisation spatio-temporelle. La maladie des plantes est un problème majeur dans le monde de l'agriculture. Par exemple en Malaisie, la maladie de la pourriture de basal de la tige (BSR) causée par le champignon Ganoderma Boninense est la maladie la plus grave pour les plantations de palmiers à huile. Le champignon infecte les palmiers à huile,causant des pertes de rendement et détruisant au final les arbres. Divers facteurs ont été précédemment
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Kovach, Stephan. "Detecção de fraudes em transações financeiras via Internet em tempo real." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-09082011-155153/.

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Um dos objetivos mais importantes de qualquer sistema de detecção de fraudes, independente de seu domínio de operação, é detectar o maior número de fraudes com menor número de alarmes falsos, também denominados de falsos positivos. A existência de falsos positivos é um fato inerente a qualquer sistema de detecção fraudes. O primeiro passo para alcançar esse objetivo é identificar os atributos que podem ser usados para diferenciar atividades legítimas das fraudulentas. O próximo passo consiste em identificar um método para cada atributo escolhido para efetuar essa distinção. A escolha adequada
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Aguirre, Martinez Felipe. "Reliability analysis of systems using belief functions theory to represent epistemic uncertainty." Compiègne, 2012. http://www.theses.fr/2012COMP2040.

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Il existe différentes façons de classifier l’incertitude ou ses sources. La distinction la plus courante est de diviser l’incertitude en deux types : Incertitude aléatoire et incertitude épistémique. Le premier type est irréductible et dû à la variabilité naturelle des phénomènes aléatoires. Le deuxième est réductible et dû à un manque de connaissances qui peut être réduit en faisant d’avantage d’efforts (recueil de plus de données, consultation d’experts, essais accélérés. . . ). Récemment, plusieurs auteurs ont commencé à contester l’usage de probabilités classiques pour traiter ces deux typ
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Taroun, Abdulmaten. "Decision Support System (DSS) for construction project risk analysis and evaluation via evidential reasoning (ER)." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/decision-support-system-dss-for-construction-project-risk-analysis-and-evaluation-via-evidential-reasoning-er(1eb74da2-ded1-4ea7-8f50-1fc6edd12353).html.

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This research explores the theory and practice of risk assessment and project evaluationand proposes novel alternatives. Reviewing literature revealed a continuous endeavourfor better project risk modelling and analysis. A number of proposals for improving theprevailing Probability-Impact (P-I) risk model can be found in literature. Moreover,researchers have investigated the feasibility of different theories in analysing projectrisk. Furthermore, various decision support systems (DSSs) are available for aidingpractitioners in risk assessment and decision making. Unfortunately, they are sufferi
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Zomlot, Loai M. M. "Handling uncertainty in intrusion analysis." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/17603.

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Doctor of Philosophy<br>Department of Computing and Information Sciences<br>Xinming Ou<br>Intrusion analysis, i.e., the process of combing through Intrusion Detection System (IDS) alerts and audit logs to identify true successful and attempted attacks, remains a difficult problem in practical network security defense. The primary cause of this problem is the high false positive rate in IDS system sensors used to detect malicious activity. This high false positive rate is attributed to an inability to differentiate nearly certain attacks from those that are merely possible. This inefficacy has
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Wahyuni, Ias Sri. "Multi-focus image fusion using local variability." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCK010/document.

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Dans cette thèse, nous nous intéressons aux méthodes de la fusion d'images multi focales. Cette technique consiste à fusionner plusieurs images capturées avec différentes distances focales de la même scène. Cela permet d'obtenir une image de meilleure qualité à partir des deux images sources. Nous proposons une méthode de fusion d'images s'appuyant sur les techniques des pyramides Laplaciennes en utilisant comme règle de sélection les transformées d'ondelettes discretes(DWT: Discrete Wavelet Transform). Nous développons, par la suite, deux méthodes de fusion d'images multi focales basée sur la
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37

Amroun, Hamdi. "Modèles statistiques avancés pour la reconnaissance de l’activité physique dans un environnement non contrôlé en utilisant un réseau d’objets connectés." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS406/document.

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Avec l’arrivée des objets connectés, la reconnaissance de l’activité physique connait une nouvelle ère. De nouvelles considérations sont à prendre en compte afin d’aboutir à un meilleur processus de traitement. Dans cette thèse, nous avons exploré le processus de traitement pour la reconnaissance de l’activité physique dans un environnement non contrôlé. Les activités physiques reconnues, avec seulement une centrale inertielle (accéléromètre, gyroscope et magnétomètre), sont dites élémentaires. Les autres types d’activités dépendantes d’un contexte sont dites « basés sur le contexte ». Nous av
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Aloulou, Hamdi. "Framework for ambient assistive living : handling dynamism and uncertainty in real time semantic services provisioning." Thesis, Evry, Institut national des télécommunications, 2013. http://www.theses.fr/2013TELE0016/document.

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L’hétérogénéité des environnements ainsi que la diversité des profils et des besoins des patients représentent des contraintes majeures qui remettent en question l’utilisation à grande échelle des systèmes d’assistance à l’autonomie à domicile (AAL). En effet, afin de répondre à l’évolution de l’état des patients et de leurs besoins humains, les environnements AAL sont en évolution continue par l’introduction ou la disparition de capteurs, de dispositifs d’interaction et de services d’assistance. Par conséquent, une plateforme générique et dynamique capable de s’adapter à différents environnem
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Al-Mutawah, Khalid. "A study of corporate culture compatibility on supply chain performance." Monash University. Faculty of Information Technology. Clayton School of Information Technology, 2009. http://arrow.monash.edu.au/hdl/1959.1/73965.

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Supply chain systems have become a vital component of successful networked business firms/organisations. Over the last three decades, there has been a dramatic growth globally in the formation of supply chain networks. Research, however, indicates that there has been an increase in reported supply chains failures, and the incompatibility issues between participated organisations. Yet, these incompatibility issues are not just technical, but encompass wider cultural, organisational, and economical factors. Whilst research has shown the effect of such factors on supply chain performance, the inf
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Haouas, Fatma. "Raisonnement approximatif pour la détection et l'analyse de changements." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0150/document.

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Cette thèse est le fruit de l’interaction de deux disciplines qui sont la détection de changements dans des images multitemporelles et le raisonnement évidentiel à l’aide de la théorie de Dempster-Shafer (DST). Aborder le problème de détection et d’analyse de changements par la DST nécessite la détermination d’un cadre de discernement exhaustif et exclusif. Ce problème s’avère complexe en l’absence des informations a priori sur les images. Nous proposons dans ce travail de recherche un nouvel algorithme de clustering basé sur l’algorithme Fuzzy-C-Means (FCM) afin de définir les classes sémanti
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Gao, Quanjian. "An empirical study for the application of the evidential reasoning rule to decision making in financial investment." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/an-empirical-study-for-the-application-of-the-evidential-reasoning-rule-to-decision-making-in-financial-investment(bfb64016-55cf-4785-a7ba-4ba8663c755f).html.

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The aim of this thesis is to explore the adaptability of the Evidential Reasoning (ER) Rule as a method to provide a useful supporting tool for helping investors make decisions on financial investments. Decision making in financial investment often involves conflicting information and subjective judgment of the investors. Accordingly, the ER Rule, extended from the original popular Evidential Reasoning algorithm and developed for MCDM (Multiple Criteria Decision Making), is particularly suited for handling conflicts in information and to allow for judgmental weighting on the sources of evidenc
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42

Aloulou, Hamdi. "Framework for ambient assistive living : handling dynamism and uncertainty in real time semantic services provisioning." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2013. http://www.theses.fr/2013TELE0016.

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L’hétérogénéité des environnements ainsi que la diversité des profils et des besoins des patients représentent des contraintes majeures qui remettent en question l’utilisation à grande échelle des systèmes d’assistance à l’autonomie à domicile (AAL). En effet, afin de répondre à l’évolution de l’état des patients et de leurs besoins humains, les environnements AAL sont en évolution continue par l’introduction ou la disparition de capteurs, de dispositifs d’interaction et de services d’assistance. Par conséquent, une plateforme générique et dynamique capable de s’adapter à différents environnem
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Sui, Liqi. "Uncertainty management in parameter identification." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2330/document.

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Afin d'obtenir des simulations plus prédictives et plus précises du comportement mécanique des structures, des modèles matériau de plus en plus complexes ont été développés. Aujourd'hui, la caractérisation des propriétés des matériaux est donc un objectif prioritaire. Elle exige des méthodes et des tests d'identification dédiés dans des conditions les plus proches possible des cas de service. Cette thèse vise à développer une méthodologie d'identification efficace pour trouver les paramètres des propriétés matériau, en tenant compte de toutes les informations disponibles. L'information utilisé
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44

Aloulou, Hamdi. "Framework for ambient assistive living : handling dynamism and uncertainty in real time semantic services provisioning." Phd thesis, Institut National des Télécommunications, 2014. http://tel.archives-ouvertes.fr/tel-01048706.

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The heterogeneity of the environments as well as the diversity of patients' needs and profiles are major constraints that challenge the spread of ambient assistive living (AAL) systems. AAL environments are usually evolving by the introduction or the disappearance of sensors, devices and assistive services to respond to the evolution of patients' conditions and human needs. Therefore, a generic framework that is able to adapt to such dynamic environments and to integrate new sensors, devices and assistive services at runtime is required. Implementing such a dynamic aspect may produce an uncert
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Ennaceur, Amel. "New AHP methods for handling uncertainty within the Belief Function Theory." Thesis, Artois, 2015. http://www.theses.fr/2015ARTO0203/document.

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L'aide à la décision multicritères regroupe des méthodes permettant de choisir la meilleure solution en fonction des différents critères et compte tenu des préférences des experts. Toutefois, ces préférences sont parfois exprimées de manière imparfaite. La théorie des fonctions de croyance modélise de manière souple les connaissances et fournit des outils mathématiques pour gérer les différents types d'imperfection. Ainsi dans cette thèse, nous nous intéressons à la prise de décision multicritères dans un cadre incertain en étendant la méthode d’Analyse Hiérarchique des Procédés (AHP) à la thé
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Capellier, Édouard. "Application of machine learning techniques for evidential 3D perception, in the context of autonomous driving." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2534.

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L’apprentissage machine a révolutionné la manière dont les problèmes de perception sont, actuellement, traités. En effet, la plupart des approches à l’état de l’art, dans de nombreux domaines de la vision par ordinateur, se reposent sur des réseaux de neurones profonds. Au moment de déployer, d’évaluer, et de fusionner de telles approches au sein de véhicules autonomes, la question de la représentation des connaissances extraites par ces approches se pose. Dans le cadre de ces travaux de thèse, effectués au sein de Renault SAS, nous avons supposé qu’une représentation crédibiliste permettait d
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Setia, Ronald. "Modeling and Diagnosis of Excimer Laser Ablation." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7634.

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Recent advances in the miniaturization, functionality, and integration of integrated circuits and packages, such as the system-on-package (SOP) methodology, require increasing use of microvias that generates vertical signal paths in a high-density multilayer substrate. A scanning projection excimer laser system has been utilized to fabricate the microvias. In this thesis, a novel technique implementing statistical experimental design and neural networks (NNs) is used to characterize and model the excimer laser ablation process for microvia formation. Vias with diameters from 10 50 micrometer
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Elkin, Colin P. "Development of Adaptive Computational Algorithms for Manned and Unmanned Flight Safety." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544640516618623.

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Xu, Philippe. "Information fusion for scene understanding." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2153/document.

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La compréhension d'image est un problème majeur de la robotique moderne, la vision par ordinateur et l'apprentissage automatique. En particulier, dans le cas des systèmes avancés d'aide à la conduite, la compréhension de scènes routières est très importante. Afin de pouvoir reconnaître le grand nombre d’objets pouvant être présents dans la scène, plusieurs capteurs et algorithmes de classification doivent être utilisés. Afin de pouvoir profiter au mieux des méthodes existantes, nous traitons le problème de la compréhension de scènes comme un problème de fusion d'informations. La combinaison d'
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Wang, Rui. "Confidence in safety argument - An assessment framework based on belief function theory." Thesis, Toulouse, INSA, 2018. http://www.theses.fr/2018ISAT0013/document.

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Les arguments de sécurité sont couramment utilisés pour montrer que des efforts suffisants ont été faits pour atteindre les objectifs de sécurité. Ainsi, la sécurité du système est souvent justifiée par l'évaluation des arguments de sécurité. L'évaluation de tels arguments repose généralement sur l’avis d’experts sans s’appuyer sur des outils ou des méthodes dédiés. Ceci pose des questions sur la validité des résultats. Dans cette thèse, une approche quantitative est proposée, basé sur la théorie de Dempster-Shafer (théorie D-S) pour évaluer notre confiance dans les arguments de sécurité. Cett
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