Advances and Applications of Dezert-Smarandache Theory (DSmT) for Information Fusion (Collected Works), Vol. 4

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.unm.edu/DSmT-book3.pdf) in international conferences, seminars, workshops and journals. First Part of this book presents the theoretical advancement of DSmT, dealing with Belief functions, conditioning and deconditioning, Analytic Hierarchy Process, Decision Making, Multi-Criteria, evidence theory, combination rule, evidence distance, conflicting belief, sources of evidences with different importance and reliabilities, importance of sources, pignistic probability transformation, Qualitative reasoning under uncertainty, Imprecise belief structures, 2-Tuple linguistic label, Electre Tri Method, hierarchical proportional redistribution, basic belief assignment, subjective probability measure, Smarandache codification, neutrosophic logic, Evidence theory, outranking methods, Dempster-Shafer Theory, Bayes fusion rule, frequentist probability, mean square error, controlling factor, optimal assignment solution, data association, Transferable Belief Model, and others. More applications of DSmT have emerged in the past years since the apparition of the third book of DSmT 2009. Subsequently, the second part of this volume is about applications of DSmT in correlation with Electronic Support Measures, belief function, sensor networks, Ground Moving Target and Multiple target tracking, Vehicle-Born Improvised Explosive Device, Belief Interacting Multiple Model filter, seismic and acoustic sensor, Support Vector Machines, Alarm classification, ability of human visual system, Uncertainty Representation and Reasoning Evaluation Framework, Threat Assessment, Handwritten Signature Verification, Automatic Aircraft Recognition, Dynamic Data-Driven Application System, adjustment of secure communication trust analysis, and so on. Finally, the third part presents a List of References related with DSmT published or presented along the years since its inception in 2004, chronologically ordered

Étude des algorithmes d'approximation de fonctions de croyance généralisées

La recherche présentée ici consiste à résoudre le problème de difficulté calculatoire de la fusion d’informations dans le cadre de la théorie de l’évidence de Dempster-Shafer, ainsi que celui de la théorie de Dezert-Smarandache. On présente des études sur l’utilisation d’une variété d’algorithmes d’approximation connus ainsi que sur un nouvel algorithme d’approximation. On présente aussi une étude sur les métriques connues de distance entre corps d’évidence ainsi que deux nouvelles métriques. Enfin, on montre une étude de la possibilité d’employer une méthode d’optimisation afin de sélectionner automatiquement les paramètres d’approximation à l’aide de critères de performance. Mots-clés : Dezert, Smarandache, Dempster, Shafer, Fusion, Fonctions de croyance.This research is about the solving of the computational difficulty of data fusion in the evidence theory of Dempster-Shafer theory and Dezert-Smarandache theory. We study the use of a variety of known approximation algorithms as well as a new approximation algorithm that we propose. We also study known metrics between bodies of evidence as well as two new metrics that we develop. Finally, we study the possibility of using an optimization method to automatically select the parameters of approximation with performance criteria. Keywords: Dezert, Smarandache, Dempster, Shafer, Fusion, Belief functions

Fusion d'informations dans un cadre de raisonnement de Dezert-Smarandache appliquée sur des rapports de capteurs ESM sous le STANAG 1241

Une analyse comparative de diverses règles de combinaison dans un contexte simple est présentée dans ce mémoire. Nous y retrouverons une identification de l'impact de la fusion de l'information par diverses règles de combinaisons appliquées sur des rapports d'un senseur passif Electronic Support Measures (ESM). Nos objectifs principaux seront donc : d'utiliser la théorie de Dezert-Smarandache (DSmT) pour les ESM, et d'implanter la DSmT pour les ESM. Il faut donc identifier l'impact de la fusion de l'information sous le STANAG 4162 faisant référence au STANAG 1241 lequel énonce cinq catégories d'allégeance pour l'identification. Notre environnement de travail, la théorie de Dezert-Smarandache du possible, paradoxal et du raisonnement neutrosophique est assez récente et a été très peu implémentée ou utilisée avant les travaux couverts par ce mémoire. Elle a été implémentée ici pour un contexte d'environnement ESM

Enhancing the conceptual design process of automotive exterior systems

Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2011.Cataloged from PDF version of thesis.Includes bibliographical references (p. 152-154).Product development cycles in the automotive industry are being reduced and competition is more demanding than ever before. To be successful in this environment, Original Equipment Manufacturers need a product development process that delivers best-in-class value, at a competitive cost and with the shortest lead time. Within the development process, the conceptual design is the most important phase in the delivery of a nocompromise design solution. In this phase, design teams have the largest amount of latitude to create value in the product, but they also face high levels of uncertainty and incomplete information to make decisions. At a high level, the conceptual design phase encompasses four major steps. In the first step, value is defined from the stakeholder perspective and system objectives are defined. The second step involves a divergent process in which design space is explored and several concept alternatives are generated to meet the system objectives. The third is a convergent process in which design alternatives are matured, evaluated and one is selected. In the fourth step, the architecture of the system is articulated. The intended impact of this thesis is to enhance the value delivered in the conceptual design phase and prevent waste in downstream activities within the product development process. To achieve this, the conceptual design processes of a major automotive manufacturer were studied to identify the problems that constrain value delivery and generate waste. The findings of this study and the exploration of existing concept development frameworks were synthesized in a concept development methodology focused on automotive Exterior Systems.by David Diaz Dominguez.S.M.in Engineering and Managemen

Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5

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 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

INTRODUCTION TO NEUTROSOPHIC MEASURE, NEUTROSOPHIC INTEGRAL, AND NEUTROSOPHIC PROBABILITY

Neutrosophic Science means development and applications of neutrosophic logic/set/measure/integral/probability etc. and their applications in any field

Quantifying Quality of Life

Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject

Quantifying Quality of Life

Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject