Advances And Applications Of Dsmt For Information Fusion Collected Works

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Advances and Applications of DSmT for Information Fusion, Vol. 3

Florentin Smarandache,Jean Dezert
Advances and Applications of DSmT for Information Fusion Vol 3 Book PDF

Author : Florentin Smarandache,Jean Dezert
Publisher : Infinite Study
Page : 760 pages
File Size : 45,9 Mb
Release : 2004
Category : Science
ISBN : 9781599730738

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Advances and Applications of DSmT for Information Fusion, Vol. 3 by Florentin Smarandache,Jean Dezert Pdf

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.

Advances and Applications of DSmT for Information Fusion (Collected works)

Florentin Smarandache,Jean Dezert
Advances and Applications of DSmT for Information Fusion Collected works Book PDF

Author : Florentin Smarandache,Jean Dezert
Publisher : Infinite Study
Page : 438 pages
File Size : 53,6 Mb
Release : 2004
Category : Computers
ISBN : 9781931233828

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Advances and Applications of DSmT for Information Fusion (Collected works) by Florentin Smarandache,Jean Dezert Pdf

Papers collected from researchers in fusion information, such as: Florentin Smarandache, Jean Dezert, Hongshe Dang, Chongzhao Han, Frederic Dambreville, Milan Daniel, Mohammad Khoshnevisan, Sukanto Bhattacharya, Albena Tchamova, Tzvetan Semerdjiev, Pavlina Konstantinova, Hongyan Sun, Mohammad Farooq, John J. Sudano, Samuel Corgne, Gregoire Mercier, Laurence Hubert-Moy, Anne-Laure Jousselme, Patrick Maupin and others on Dezert-Smarandache Theory of Plausible and Paradoxical Reasoning (DSmT).. The principal theories available until now for data fusion are the probability theory, the fuzzy set theory, the possibility theory, the hint theory and the theory of evidence. Since last two years J. Dezert and F. Smarandache are actively developing a new theory of plausible and paradoxical reasoning, called DSmT (acronym for Dezert-Smarandache Theory), for information fusion of uncertain and highly conflicting sources of information. The DSmT can be interpreted as a generalization of the Dempster-Shafer Theory (DST) but goes far beyond the DST. The free-DSmT model, which assumes that the ultimate refinement of the frame of discernment of the fusion problem is not accessible due to the intrinsic nature of its elements, is opposite to the Shafer's model (on which is based the DST) assuming the exhaustivity and exclusivity of all elements of the frame of discernment. The DSmT proposes a new theoretical framework for data fusion based on definition of hyper-power sets and a new simple commutative and associative rule of combination. Recently, it has been discovered, through a new DSm hybrid rule of combination, that DSmT can be also extended to problems involving hybrid-models (models including some exclusivity and/or non-existentially constraints). This new important theoretical result offers now to the DSmT a wider class of fusion applications and allows potentially to attack the next generation of complex dynamical/temporal fusion problems. DSmT can also provide a theoretical issue for the fusion of neutrosophic information (extension of fuzzy information proposed by F. Smarandache in nineties - see http://www.gallup.unm.edu/~smarandache/FirstNeutConf.htm for details about the neutrosophy logic and neutrosophy set theory).

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

Florentin Smarandache,Jean Dezert,Albena Tchamova
Advances and Applications of DSmT for Information Fusion Collected Works Volume 5 Book PDF

Author : Florentin Smarandache,Jean Dezert,Albena Tchamova
Publisher : Infinite Study
Page : 932 pages
File Size : 50,8 Mb
Release : 2023-12-27
Category : Biography & Autobiography
ISBN : 8210379456XXX

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Advances and Applications of DSmT for Information Fusion (Collected Works. Volume 5) by Florentin Smarandache,Jean Dezert,Albena Tchamova Pdf

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.

Advances and Applications of DSmT for Information Fusion, Vol. IV

Florentin Smarandache, Jean Dezert
Advances and Applications of DSmT for Information Fusion Vol IV Book PDF

Author : Florentin Smarandache, Jean Dezert
Publisher : Infinite Study
Page : 506 pages
File Size : 47,9 Mb
Release : 2015-03-01
Category : Electronic
ISBN : 9781599733241

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Advances and Applications of DSmT for Information Fusion, Vol. IV by Florentin Smarandache, Jean Dezert Pdf

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.

Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 4

Florentin Smarandache,Jean Dezert
Advances and Applications of DSmT for Information Fusion Collected Works Volume 4 Book PDF

Author : Florentin Smarandache,Jean Dezert
Publisher : Infinite Study
Page : 506 pages
File Size : 49,8 Mb
Release : 2015-07-01
Category : Mathematics
ISBN : 8210379456XXX

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Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 4 by Florentin Smarandache,Jean Dezert Pdf

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 have been published or presented after disseminating the third volume (2009, http://fs.gallup.unm.edu/DSmT-book3.pdf) in international conferences, seminars, workshops and journals.

Application of DSmT-ICM with Adaptive decision rule to supervised classification in multisource remote sensing

A. Elhassouny, S. Idbraim, A. Bekkari, D. Mammass , D. Ducrot
Application of DSmT ICM with Adaptive decision rule to supervised classi cation in multisource remote sensing Book PDF

Author : A. Elhassouny, S. Idbraim, A. Bekkari, D. Mammass , D. Ducrot
Publisher : Infinite Study
Page : 11 pages
File Size : 54,8 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 8210379456XXX

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Application of DSmT-ICM with Adaptive decision rule to supervised classification in multisource remote sensing by A. Elhassouny, S. Idbraim, A. Bekkari, D. Mammass , D. Ducrot Pdf

In this paper, we introduce a new procedure called DSmT-ICM with adaptive decision rule, which is an alternative and extension of Multisource Classification Using ICM (Iterated conditional mode) and DempsterShafer theory (DST). This work confirmed the ability of the Dezert-Smarandache Theory (DSmT) used for the modeling of the classes sets of themes to significantly improve the quality of ICM classification algorithm with constraints by the fusion of the multidates images.

Collected Papers. Volume XII

Florentin Smarandache
Collected Papers Volume XII Book PDF

Author : Florentin Smarandache
Publisher : Infinite Study
Page : 1006 pages
File Size : 55,7 Mb
Release : 2022-08-01
Category : Mathematics
ISBN : 8210379456XXX

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Collected Papers. Volume XII by Florentin Smarandache Pdf

This twelfth volume of Collected Papers includes 86 papers comprising 976 pages on Neutrosophics Theory and Applications, published between 2013-2021 in the international journal and book series “Neutrosophic Sets and Systems” by the author alone or in collaboration with the following 112 co-authors (alphabetically ordered) from 21 countries: Abdel Nasser H. Zaied, Muhammad Akram, Bobin Albert, S. A. Alblowi, S. Anitha, Guennoun Asmae, Assia Bakali, Ayman M. Manie, Abdul Sami Awan, Azeddine Elhassouny, Erick González-Caballero, D. Dafik, Mithun Datta, Arindam Dey, Mamouni Dhar, Christopher Dyer, Nur Ain Ebas, Mohamed Eisa, Ahmed K. Essa, Faruk Karaaslan, João Alcione Sganderla Figueiredo, Jorge Fernando Goyes García, N. Ramila Gandhi, Sudipta Gayen, Gustavo Alvarez Gómez, Sharon Dinarza Álvarez Gómez, Haitham A. El-Ghareeb, Hamiden Abd El-Wahed Khalifa, Masooma Raza Hashmi, Ibrahim M. Hezam, German Acurio Hidalgo, Le Hoang Son, R. Jahir Hussain, S. Satham Hussain, Ali Hussein Mahmood Al-Obaidi, Hays Hatem Imran, Nabeela Ishfaq, Saeid Jafari, R. Jansi, V. Jeyanthi, M. Jeyaraman, Sripati Jha, Jun Ye, W.B. Vasantha Kandasamy, Abdullah Kargın, J. Kavikumar, Kawther Fawzi Hamza Alhasan, Huda E. Khalid, Neha Andalleb Khalid, Mohsin Khalid, Madad Khan, D. Koley, Valeri Kroumov, Manoranjan Kumar Singh, Pavan Kumar, Prem Kumar Singh, Ranjan Kumar, Malayalan Lathamaheswari, A.N. Mangayarkkarasi, Carlos Rosero Martínez, Marvelio Alfaro Matos, Mai Mohamed, Nivetha Martin, Mohamed Abdel-Basset, Mohamed Talea, K. Mohana, Muhammad Irfan Ahamad, Rana Muhammad Zulqarnain, Muhammad Riaz, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Muhammad Zeeshan, Anjan Mukherjee, Mumtaz Ali, Deivanayagampillai Nagarajan, Iqra Nawaz, Munazza Naz, Roan Thi Ngan, Necati Olgun, Rodolfo González Ortega, P. Pandiammal, I. Pradeepa, R. Princy, Marcos David Oviedo Rodríguez, Jesús Estupiñán Ricardo, A. Rohini, Sabu Sebastian, Abhijit Saha, Mehmet Șahin, Said Broumi, Saima Anis, A.A. Salama, Ganeshsree Selvachandran, Seyed Ahmad Edalatpanah, Sajana Shaik, Soufiane Idbrahim, S. Sowndrarajan, Mohamed Talea, Ruipu Tan, Chalapathi Tekuri, Selçuk Topal, S. P. Tiwari, Vakkas Uluçay, Maikel Leyva Vázquez, Chinnadurai Veerappan, M. Venkatachalam, Luige Vlădăreanu, Ştefan Vlăduţescu, Young Bae Jun, Wadei F. Al-Omeri, Xiao Long Xin.

Information Fusion Under Consideration of Conflicting Input Signals

Uwe Mönks
Information Fusion Under Consideration of Conflicting Input Signals Book PDF

Author : Uwe Mönks
Publisher : Springer
Page : 240 pages
File Size : 52,8 Mb
Release : 2016-11-25
Category : Technology & Engineering
ISBN : 9783662537527

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Information Fusion Under Consideration of Conflicting Input Signals by Uwe Mönks Pdf

This work proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) and the μBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. In addition, a sensor defect detection method, which is based on the continuous monitoring of sensor reliabilities, is presented. The performances of the contributions are shown by their evaluation in the scope of both a publicly available data set and a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms.

Information Fusion and Analytics for Big Data and IoT

Eloi Bosse,Basel Solaiman
Information Fusion and Analytics for Big Data and IoT Book PDF

Author : Eloi Bosse,Basel Solaiman
Publisher : Artech House
Page : 280 pages
File Size : 44,9 Mb
Release : 2016-02-01
Category : Computers
ISBN : 9781630810887

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Information Fusion and Analytics for Big Data and IoT by Eloi Bosse,Basel Solaiman Pdf

The Internet of Things (IoT) and Big Data are hot topics in the world of intelligence operations and information gathering. This first-of-its-kind volume reveals the benefits of addressing these topics with the integration of Fusion of Information and Analytics Technologies (FIAT). The book explains how FIAT is materialized into decision support systems that are capable of supporting the prognosis, diagnosis, and prescriptive tasks within complex systems and organizations. This unique resource offers keen insight into how complex systems emerge from the interrelation of social and cognitive information, cyber and physical worlds, and the various models of decision-making and situational awareness. Practitioners also discover the central notions of analytics and information fusion. Moreover the book introduces propos such as integration through a FIAT computational model and applications at the systems level. This book concludes with a list of prospective research activities that can contribute towards the required FIAT integration for critical application domains such as: energy, health, transport and defense and security.

The Generalized Pignistic Transformation

Jean Dezert ,Florentin Smarandache ,Milan Daniel
The Generalized Pignistic Transformation Book PDF

Author : Jean Dezert ,Florentin Smarandache ,Milan Daniel
Publisher : Infinite Study
Page : 11 pages
File Size : 53,6 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 8210379456XXX

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The Generalized Pignistic Transformation by Jean Dezert ,Florentin Smarandache ,Milan Daniel Pdf

This paper presents in detail the generalized pignistic transformation (GPT)succinctly developed in the Dezert-Smarandache Theory (DSmT) framework as a tool for decision process. The GPT allows to provide a subjective probability measure from any generalized basic belief assignment given by any corpus of evidence. We mainly focus our presentation on the 3D case and provide the complete result obtained by the GPT and its validation drawn from the probability theory.

Practical Applications of the Independent Neutrosophic Components and of the Neutrosophic Offset Components

Florentin Smarandache
Practical Applications of the Independent Neutrosophic Components and of the Neutrosophic Offset Components Book PDF

Author : Florentin Smarandache
Publisher : Infinite Study
Page : 15 pages
File Size : 53,9 Mb
Release : 2021-12-20
Category : Antiques & Collectibles
ISBN : 8210379456XXX

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Practical Applications of the Independent Neutrosophic Components and of the Neutrosophic Offset Components by Florentin Smarandache Pdf

The newly introduced theories, proposed as extensions of the fuzzy theory, such as the Neutrosophic, Pythagorean, Spherical, Picture, Cubic theories, and their numerous hybrid forms, are criticized by the authors of [1]. In this paper we respond to their critics with respect to the neutrosophic theories and show that the DST, that they want to replace the A-IFS with, has many flaws. Their misunderstanding, with respect to the partial and total independence of the neutrosophic components, is that in the framework of the neutrosophic theories we deal with a MultiVariate Truth-Value (truth upon many independent random variables) as in our real-life world, not with a UniVariate Truth-Value (truth upon only one random variable) as they believe. About the membership degrees outside of the interval [0, 1], which are now in the arXiv and HAL mainstream, it is normal that somebody who over-works (works overtime) to have an over-membership (i.e., membership degree above 1) to be distinguished from those who do not work overtime (whose membership degree is between 0 and 1). And, similarly, a negative employee (that who does only damages to the company) to have a negative membership (i.e., membership degree below 0) in order to distinguish him from the positive employees (those whose membership degree is above 0). There are elementary practical applications in this paper that allow us to think out of box (in this case the box is the interval [0, 1]).

Fusion of imprecise qualitative information

Xinde Li,Xianzhong Dai,Jean Dezert,Florentin Smarandache
Fusion of imprecise qualitative information Book PDF

Author : Xinde Li,Xianzhong Dai,Jean Dezert,Florentin Smarandache
Publisher : Infinite Study
Page : 12 pages
File Size : 55,5 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 8210379456XXX

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Fusion of imprecise qualitative information by Xinde Li,Xianzhong Dai,Jean Dezert,Florentin Smarandache Pdf

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.

Image and Signal Processing

Abderrahim Elmoataz,Driss Mammass,Olivier Lezoray,Fathallah Nouboud,Driss Aboutajdine
Image and Signal Processing Book PDF

Author : Abderrahim Elmoataz,Driss Mammass,Olivier Lezoray,Fathallah Nouboud,Driss Aboutajdine
Publisher : Springer
Page : 607 pages
File Size : 47,9 Mb
Release : 2012-07-04
Category : Computers
ISBN : 9783642312540

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Image and Signal Processing by Abderrahim Elmoataz,Driss Mammass,Olivier Lezoray,Fathallah Nouboud,Driss Aboutajdine Pdf

This book constitutes the refereed proceedings of the 5th International Conference on Image and Signal Processing, ICISP 2012, held in Agadir, Morocco, in June 2012. The 75 revised full papers presented were carefully reviewed and selected from 158 submissions. The contributions are grouped into the following topical sections: multi/hyperspectral imaging; image itering and coding; signal processing; biometric; watermarking and texture; segmentation and retieval; image processing; pattern recognition.

Neutrosophic Sets and Systems, Vol. 47, 2021

Florentin Smarandache,Mohamed Abdel-Basser,Said Broumi
Neutrosophic Sets and Systems Vol 47 2021 Book PDF

Author : Florentin Smarandache,Mohamed Abdel-Basser,Said Broumi
Publisher : Infinite Study
Page : 652 pages
File Size : 46,7 Mb
Release : 2021-12-30
Category : Antiques & Collectibles
ISBN : 8210379456XXX

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Neutrosophic Sets and Systems, Vol. 47, 2021 by Florentin Smarandache,Mohamed Abdel-Basser,Said Broumi Pdf

Papers on neutrosophic statistics, neutrosophic probability, plithogenic set, paradoxism, neutrosophic set, NeutroAlgebra, etc. and their applications.

Information fusion for natural hazards in mountains

Jean-Marc Tacnet,Mireille Batton-Hubert ENMSE,Jean Dezert
Information fusion for natural hazards in mountains Book PDF

Author : Jean-Marc Tacnet,Mireille Batton-Hubert ENMSE,Jean Dezert
Publisher : Infinite Study
Page : 96 pages
File Size : 40,6 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 8210379456XXX

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Information fusion for natural hazards in mountains by Jean-Marc Tacnet,Mireille Batton-Hubert ENMSE,Jean Dezert Pdf

From a real case application based on snow-avalanche risk management, an integrated framework mixing evidential reasoning and multi-criteria decision analysis (ER-MCDA) is proposed. This methodology considers a simplified decision sorting problem based on qualitative and quantitative criteria on which more or less reliable sources provide uncertain and imprecise evaluations.