Scientific Publications

2010

Mojtahed, V., Svee, E.-O., Zdravkovic, J.,
Semantic Enhancements when Designing a BOM-based Conceptual Repository
In Proceedings of the 2010 SISO European Simulation Interoperability Workshop (Euro SIW), Ottawa, Canada, 11−14 July 2010. SISO, Orlando, FL, paper 10E-SIW-021, pp. 1−12.
(FOI-S--3430--SE, Swedish Defence Research Agency, 2010)
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Schubert, J.
Constructing Multiple Frames of Discernment for Multiple Subproblems
In Proceedings of the 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2010), E. Hüllermeier, R. Kruse, F. Hoffmann (Eds.), Dortmund, Germany, 28 June−2 July 2010. Springer-Verlag (CCIS 80), Berlin, 2010, pp. 189−198.
(FOI-S--3455--SE, Swedish Defence Research Agency, 2010)
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An iterative workflow model of constructing frames of discernment from belief functions (Dempster-Shafer theory) for multiple problems using Potts Spin theory

Schubert, J.
Analysis and assessment of effects-based plans
In Proceedings of the NATO Symposium on Analytical Support to Defence Transformation (SAS-081), Sofia, Bulgaria, 26−28 April 2010, Paper 33, pp. 1−18.
(FOI-S--3395--SE, Swedish Defence Research Agency, 2010)
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Using a cross impact matrix to find inconsistencies and decisive influences within effects-based planning (EBP) and perform subjective effects-based assessment (EBA) using belief functions (Dempster-Shafer theory)

Schubert, J.
Constructing and Reasoning about Alternative Frames of Discernment
In Proceedings of the Workshop on the Theory of Belief Functions (Belief 2010), Brest, France, 1−2 April 2010, Paper 24, pp. 1−6.
(FOI-S--3386--SE, Swedish Defence Research Agency, 2010)
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An iterative workflow model of constructing frames of discernment from belief functions (Dempster-Shafer theory) that interact in an interesting way without exhibit too much internal conflict

Duong, D., Brown, R., Schubert, J., McDonald, M., Makovoz, D. and Singer, H.
Strategic Data Farming of Military and Complex Adaptive Simulations for COA Optimization
In Scythe, Proceedings and Bulletin of the International Data Farming Community, Issue 8 - Workshop 20 (IDFW20), Monterey, USA, 22−25 March 2010.
(FOI-S--3394--SE, Swedish Defence Research Agency, 2010)
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Using Concept of Operations (CONOPS) to restrict the input space of data farming

2009

Cooper, S., Nickell, C., Piotrowski, V., Oldfield, B., Abdallah, A., Bishop, M., Caelli, B., Dark, M., Hawthorne, E.K., Hoffman, L., Pérez, L.C., Pfleeger, C., Raines, R., Schou, C. and Brynielsson, J.
An exploration of the current state of information assurance education
SIGCSE Bulletin 41(4) (2009) 109−125.
(FOI-S--3358--SE, Swedish Defence Research Agency, 2010)
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Kamrani, F., Ayani, R., Moradi, F. and Holm, G.
Estimating performance of a business process model
In Proceeding of the Winter Simulation Conference 2009 (WSC'09), Austin, USA, 13−16 December 2009, pp. 1−12.
(FOI-S--3267--SE, Swedish Defence Research Agency, 2009)
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Pfeiffer, V.M., Mausberg, N., Mies, C., Hörcher, S., Sanchez, P., Schubert, J. and Ruiz, J.
Force Protection with ITSim (II): Base Protection Against Ballistic Weapons
In Scythe, Proceedings and Bulletin of the International Data Farming Community, Issue 7 - Workshop 19 (IDFW19), Takapuna, New Zeeland, 1−6 November 2009, pp. 20−26.
(FOI-S--3264--SE, Swedish Defence Research Agency, 2009)
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Data farming a force protection simulator

Mahmood, I., Ayani, R., Vlassov, V. and Moradi, F.,
Statemachine Matching in BOM based model Composition
In Proceedings of the 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2009), Singapore, 25-28 October 2009, pp. 1−8.
(FOI-S--3271--SE, Swedish Defence Research Agency, 2009)
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Moradi, F. and Schubert, J.
Modelling a Simulation-Based Decision Support System for Effects-Based Planning
In Proceedings of the NATO Symposium on Use of M&S in: Support to Operations, Irregular Warfare, Defence Against Terrorism and Coalition Tactical Force Integration (MSG-069), Brussels, Belgium, 15−16 October 2009, Paper 11, pp. 1−14.
(FOI-S--3176--SE, Swedish Defence Research Agency, 2009)
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Testing operational plans within an effects-based approach to operations (EBAO)

García Lozano, M., Moradi, F., Ibarzabal, E. and Tjörnhammar, E.,  
A Semantic Approach to Simulation Component Identification and Discovery
In Proceedings of the Sixth International Mediterranean and Latin American Modeling Multiconference, Tenerife, Spain, 23−25 September 2009, Paper 93, pp. 1−6.
(FOI-S--3257--SE, Swedish Defence Research Agency, 2009)
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Moradi, F., Ayani, R. Mokarizadeh, S. and Tan, G.
A rule-based semantic matching of base object models
International Journal of Simulation and Process Modelling 5(2) (2009) 132−145.
(FOI-S--3270--SE, Swedish Defence Research Agency, 2009)
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Abdulla, P.A., Holik, L, Kaati, L. and Vojnar, T.
A Uniform (Bi-)Simulation-Based Framework for Reducing Tree Automata
Electronic Notes in Theoretical Computer Science 251 (2009) 27−48.
(FOI-S--3173--SE, Swedish Defence Research Agency, 2009)
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Schubert, J., Svenson, P. and Mårtenson, C.
System prediction combining state estimation with an evidential influence diagram
In Proceedings of the Twelfth International Conference on Information Fusion (FUSION 2009), Seattle, USA, 6−9 July 2009, pp. 428−435.
(FOI-S--3158--SE, Swedish Defence Research Agency, 2009)
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Using system state estimation and a priori knowledge of system relations for one step system state prediction within knowledge support (KS) using belief functions (Dempster-Shafer theory)

Biermann, J., Hörling, P. and Snidaro, L.
Automated Support for Intelligence in Asymmetric Operations: Requirements and Experimental Results
In Proceedings of the Twelfth International Conference on Information Fusion (FUSION 2009), Seattle, USA, 6−9 July 2009, pp. 1592−1599.
(FOI-S--3165--SE, Swedish Defence Research Agency, 2009)
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Andersson, M., Dalberg, E., Grahn, P., Gundmark, T., Hansson, A., Lantz, F., Kylesten, B., Linder, S., Lindgren, D., Pihl, J.,
Sjöberg, E. and Svenson, P.
The FOI C4ISR Demonstration 2008
In Proceedings of the Twelfth International Conference on Information Fusion (FUSION 2009), Seattle, USA, 6−9 July 2009, pp. 1604−1612.
(FOI-S--3166--SE, Swedish Defence Research Agency, 2009)
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Lundin, M., Hörling, P. and Svenson, P.
Uncertainty modelling for threat analysis
In Proceedings of the 14th International Command and Control Research Technology Symposium, Washington, DC, USA, 15−17 June 2009. US Department of Defense CCRP, Washington, DC, 2008, Paper 032, pp. 1−21.
(FOI-S--3123--SE, Swedish Defence Research Agency, 2009)
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Brynielsson, J., Horndahl, A., Kaati, L., Mårtenson, C. and Svenson, P.
Development of Computerized Support Tools for Intelligence Work
In Proceedings of the 14th International Command and Control Research Technology Symposium, Washington, DC, USA, 15−17 June 2009. US Department of Defense CCRP, Washington, DC, 2008, Paper 048, pp. 1−24.
(FOI-S--3121--SE, Swedish Defence Research Agency, 2009)
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García Lozano, M., Hörling, P., Moradi, F. and Tjörnhammar, E.
Supporting C2 with a Service Oriented Framework for Opportunistic Sensors and Sensor Networks
In Proceedings of the 14th International Command and Control Research Technology Symposium, Washington, DC, USA, 15−17 June 2009. US Department of Defense CCRP, Washington, DC, 2008, Paper 129, pp. 1−11.
(FOI-S--3224--SE, Swedish Defence Research Agency, 2009)
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Mojtahed, V. and Rasmussen, R.
A Framework for Semantic Interoperability in the Military Domain
In Proceedings of the 2009 Semantic Technology Conference, San Jose, USA, 14−18 June 2009. Semantic Universe, Culver City, 2009, Session 1741.
(FOI-S--3148--SE, Swedish Defence Research Agency, 2009)
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Mårtenson, C. and Svenson, P.
Information supply for high-level fusion services
In Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, S. Mott, J.F. Buford, G. Jakobson, M.J. Mendenhall (Eds.), Proceedings of SPIE Vol 7352, Orlando, USA, 19 May 2009. SPIE, Bellingham, WA, 2009, Paper 73520N.
(FOI-S--3124--SE, Swedish Defence Research Agency, 2009)
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Andler, S., Fredin, M., van Laere, J., Nilsson, M. and Svenson, P.
SMARTracIn: a concept for spoof resistant tracking of vessels and detection of adverse intentions
In Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VIII, E.M. Carapezza (Ed.), Proc. of SPIE Vol 7305, Orlando, USA, 15 April 2009. SPIE, Bellingham, WA, 2009, Paper 73050G.
(FOI-S--3125--SE, Swedish Defence Research Agency, 2009)
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Brynielsson, J.
An Information Assurance Curriculum for Commanding Officers using Hands-on Experiments
In Proceedings of the 40th ACM technical symposium on Computer science education (SIGCSE '09), Chattanooga, USA, 4−7 March 2009. ACM, Chattanooga, TN, USA, 2009, pp. 236−240.
(FOI-S--3099--SE, Swedish Defence Research Agency, 2009)
SIGCSE Bulletin 41(1) (2009) 236−240.
(FOI-S--3296--SE, Swedish Defence Research Agency, 2009)
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2008

Schubert, J.
Managing Decomposed Belief Functions
In Uncertainty and Intelligent Information Systems, B. Bouchon-Meunier, C. Marsala, M. Rifqi, R.R. Yager (Eds.). World Scientific Publishing Company, Singapore, 2008, pp. 91−103.
(FOI-S--2941--SE, Swedish Defence Research Agency, 2008)
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Extending clustering of belief functions (Dempster-Shafer theory) to nonconsonant belief functions (book chapter version)

Svensson, P.
The Evolution of Vertical Database Architectures - A Historical Survey (Keynote Talk)
In Scientific and Statistical Database Management, B. Ludaescher, N. Mamoulis (Eds.), Proceedings of the 20th International Conference SSDBM 2008, Hong Kong, China, 9−11 July 2008. Springer-Verlag (LNCS  5069), Berlin, 2008, pp. 3−5.
(FOI-S--2882--SE, Swedish Defence Research Agency, 2008)
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Schubert, J.
Subjective Effects-Based Assessment
In Proceedings of the Eleventh International Conference on Information Fusion (FUSION 2008), Cologne, Germany, 30 June−3 July 2008, pp. 987−994.
(FOI-S--2903--SE, Swedish Defence Research Agency, 2008)
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Using a cross-impact matrix and Dempster-Shafer theory (belief functions) to assess plans (EBA) within an Effects-Based Approach to Operations (EBAO)

Schubert, J.
Conflict Management in Dempster-Shafer Theory by Sequential Discounting Using the Degree of Falsity
In Proceedings of the Twelfth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'08), L. Magdalena, M. Ojeda-Aciego, J.L. Verdegay (Eds.), Málaga, Spain, 22−27 June 2008, pp. 298−305.
(FOI-S--2843--SE, Swedish Defence Research Agency, 2008)
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Conflict management by discounting belief functions (Dempster-Shafer theory) to the degree they contribute to the conflict

Schubert, J., Ferrara, L., Hörling, P. and Walter, J.
A Decision Support System for Crowd Control
In Proceedings of the 13th International Command and Control Research Technology Symposium, Seattle, USA, 17−19 June 2008. US Department of Defense CCRP, Washington, DC, 2008, Paper 005, pp. 1−19.
(FOI-S--2842--SE, Swedish Defence Research Agency, 2008)
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Decision support using machine learned strategies for managing riots

Ferrara, L., Mårtenson, C., Svenson, P., Svensson, P., Hidalgo, J., Molano A. and Madsen, A.
Integrating Data Sources and Network Analysis Tools to Support the Fight Against Organized Crime
In Intelligence and Security Informatics, C.C. Yang, H. Chen, M.C.-L. Chau, K. Chang, S.-D. Lang, P. Chen, R. Hsieh, D. Zeng, F.-Y. Wang, K.M. Carley, W. Mao, J. Zhan (Eds.), Proceedings of the IEEE ISI 2008 International Workshops: PAISI, PACCF and SOCO 2008, Taipei, Taiwan, 17 June 2008. Springer-Verlag (LNCS 5075), Berlin, 2008, pp. 171−182.
(FOI-S--2865--SE, Swedish Defence Research Agency, 2008)
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Berg, T., Mårtenson, C. and Svenson, P.
Using Text Clustering for Intelligence Classification
In Stockholm Contributions to Military-Technology 2007, M. Norsell (Ed.). Swedish National Defence College, Stockholm, 2008, pp. 22−34.
(FOI-S--2930--SE, Swedish Defence Research Agency, 2008)
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Gives several suggestions for how text mining techniques could be useful for C4ISR and knowledge management (book chapter version)

Schubert, J., Wallén, M. and Walter, J.
Morphological Refinement of Effect-Based Planning
In Stockholm Contributions to Military-Technology 2007, M. Norsell (Ed.). Swedish National Defence College, Stockholm, 2008, pp. 207−220.
(FOI-S--2867--SE, Swedish Defence Research Agency, 2008)
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Using a cross-impact matrix and Dempster-Shafer theory (belief functions) to analyze plans (EBP) within an Effects-Based Approach to Operations (EBAO) (book chapter version)

Schubert, J.
Clustering Decomposed Belief Functions Using Generalized Weights of Conflict
International Journal of Approximate Reasoning 48(2) (2008) 466−480.
(FOI-S--2825--SE, Swedish Defence Research Agency, 2008)
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Extending clustering of belief functions (Dempster-Shafer theory) to nonconsonant belief functions (journal version)

Mojtahed, V., Andersson, B., Kabilan, V., Zdravkovic, J.
BOM++, a Semantically Enriched BOM
In Proceedings of the 2008 Spring Simulation Interoperability Workshop (SIW), Providence, USA, 14−18 April 2008. SISO, Orlando, FL, 2008, paper 08S-SIW-050, pp. 1−12.
(FOI-S--2834--SE, Swedish Defence Research Agency, 2008)
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2007

Xiong, N. and Svensson, P.
Reactive Tuning of Target Estimate Accuracy in Multisensor Data Fusion
Cybernetics and Systems 38(1) (2007) 83−103.
(FOI-S--2705--SE, Swedish Defence Research Agency, 2007)
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Xiong, N., Christensen, H. and Svensson, P.
Agent Negotiation of Target Distribution Enhancing System Survivability
International Journal of Intelligent Systems 22(12) (2007) 1251−1269.
(FOI-S--2704--SE, Swedish Defence Research Agency, 2007)
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Schubert, J. and Suzic, R.
Decision Support for Crowd Control: Using Genetic Algoritms with Simulation to Learn Control Strategies
In Proceedings of the Third IEEE Workshop on Situation Management (SIMA 2007), Orlando, USA, 29 October 2007. IEEE, Piscataway, NJ, 2007, Paper SIMA-3.4, pp. 1−7.
(FOI-S--2656--SE, Swedish Defence Research Agency, 2007)
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Learning strategies for managing riots using agent-based simulations

Svenson, P., Berg, T., Hörling, P., Malm, M. and Mårtenson, C.
Using the Impact Matrix for Predictive Situational Awareness
In Proceedings of the Tenth International Conference on Information Fusion (FUSION 2007), Quebec, Canada, 2007. IEEE, Piscataway, NJ, 2007, Paper 1298, pp. 1−7.
(FOI-S--2611--SE, Swedish Defence Research Agency, 2007)
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An information fusion tool for operations other than war (OOTW)

Berg, T., Mårtenson, C. and Svenson, P.
Using Text Clustering for Intelligence Classification
In Proceedings of the Third International Conference on Military Technology (MilTech3), Stockholm, Sweden, 14−15 June 2007, Paper Or10, pp. 1−8.
(FOI-S--2577--SE, Swedish Defence Research Agency, 2007)
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Gives several suggestions for how text mining techniques could be useful for C4ISR and knowledge management (conference version)

Schubert, J., Wallén, M. and Walter, J.
Morphological Refinement of Effect Based Planning
In Proceedings of the Third International Conference on Military Technology (MilTech3), Stockholm, Sweden, 14−15 June 2007, Paper Or21, pp. 1−8.
(FOI-S--2578--SE, Swedish Defence Research Agency, 2007)
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Using a cross-impact matrix and Dempster-Shafer theory (belief functions) to analyze plans (EBP) within an Effects-Based Approach to Operations (EBAO) (conference version)

Berg, T., Hörling, P., Malm, M., Mårtenson, C. and Svenson, P.
Using the impact matrix for predictive situational awareness
In Proceedings of the 24th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS 2007), University of Borås, Sweden, 22−23 May 2007.
(FOI-S--2576--SE, Swedish Defence Research Agency, 2007)

Ahlberg, S., Hörling, P., Johansson, K., Jöred, K., Kjellström, H., Mårtenson, C., Neider, G., Schubert, J., Svenson, P., Svensson, P. and Walter, J.
An Information Fusion Demonstrator for Tactical Intelligence Processing in Network-Based Defense
Information Fusion 8(1) (2007) 84−107.
(FOI-S--2504--SE, Swedish Defence Research Agency, 2007)
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Building a dynamic common operational picture from intelligence reports (journal version)

Svensson, P. and Schubert, J. (Eds.)
A Special Issue of the Journal Information Fusion on FUSION 2004: The Seventh International Conference on Information Fusion - Part II
Information Fusion 8(1) (2007) 1−112.
(FOI-S--2528--SE, Swedish Defence Research Agency, 2007)
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This special issue of the journal Information Fusion consists of a few selected, substantially extended, and thoroughly revised papers from among the many that were originally presented at FUSION 2004, the Seventh International Conference on Information Fusion held 28 June–1 July 2004 in Stockholm, Sweden

2006

Svensson, P. and Schubert, J.
FUSION 2004: The Seventh International Conference on Information Fusion (Guest Editorial)
Information Fusion 7(4) (2006) 342−345.
(FOI-S--2391--SE, Swedish Defence Research Agency, 2006)
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The guest editorial of the special issue of the journal Information Fusion on FUSION 2004: The seventh international conference on information fusion

Svensson, P. and Schubert, J. (Eds.)
A Special Issue of the Journal Information Fusion on FUSION 2004: The Seventh International Conference on Information Fusion - Part I
Information Fusion 7(4) (2006) 341−452.
(FOI-S--2527--SE, Swedish Defence Research Agency, 2007)
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This special issue of the journal Information Fusion consists of a few selected, substantially extended, and thoroughly revised papers from among the many that were originally presented at FUSION 2004, the Seventh International Conference on Information Fusion held 28 June–1 July 2004 in Stockholm, Sweden

Svensson, P.
On Reliability and Trustworthiness of High-Level Fusion-Based Decision Support Systems: Basic Concepts and Possible Formal Methodologies
In Proceedings of the Ninth International Conference on Information Fusion (FUSION 2006), Florence, Italy, 10−13 July 2006. IEEE, Piscataway, NJ, 2006, Paper 51, pp. 1−8.
(FOI-S--2261--SE, Swedish Defence Research Agency, 2006)
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Svenson, P.
Complex Networks and Social Network Analysis in Information Fusion
In Proceedings of the Ninth International Conference on Information Fusion (FUSION 2006), Florence, Italy, 10−13 July 2006. IEEE, Piscataway, NJ, 2006, Paper 80, pp. 1−7.
(FOI-S--2262--SE, Swedish Defence Research Agency, 2006)
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Suzic, R. and Svenson, P.
Capabilities-Based Plan Recognition
In Proceedings of the Ninth International Conference on Information Fusion (FUSION 2006), Florence, Italy, 10−13 July 2006. IEEE, Piscataway, NJ, 2006, Paper 242, pp. 1−7.
(FOI-S--2263--SE, Swedish Defence Research Agency, 2006)
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Schubert, J. and Cantwell, J.
Computationally Efficient Multiple Hypothesis Association of Intelligence Reports
In Proceedings of the Ninth International Conference on Information Fusion (FUSION 2006), Florence, Italy, 10−13 July 2006. IEEE, Piscataway, NJ, 2006, Paper 276, pp. 1−6.
(FOI-S--2256--SE, Swedish Defence Research Agency, 2006)
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A multiple hypothesis association algorithm working as an interface between clustering of intelligence reports and automated evidential force aggregation using belief functions (Dempster-Shafer theory)

Schubert, J.
Managing Decomposed Belief Functions
In Proceedings of the Eleventh International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU'06), Paris, France, 2−7 July 2006. Éditions E.D.K., Paris, 2006, pp. 1428−1435.
(FOI-S--2164--SE, Swedish Defence Research Agency, 2006)
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Extending clustering of belief functions (Dempster-Shafer theory) to nonconsonant belief functions (conference version)

2005

Svenson, P.
Equivalence Classes of Future Paths for Sensor Allocation and Threat Analysis
In Signal and Data Processing of Small Targets 2005, O.E. Drummond (Ed.), Proceedings of SPIE Vol 5913, San Diego, USA, 31 July−4 August 2005. SPIE, Bellingham, WA, 2005, pp. 363−369.
(FOI-S--1872--SE, Swedish Defence Research Agency, 2005)
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Schubert, J. and Sidenbladh, H.
Sequential Clustering with Particle Filters - Estimating the Number of Clusters from Data
In Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, USA, 25−29 July 2005. IEEE, Piscataway, NJ, 2005, Paper A4-3, pp. 1−8.
(FOI-S--1814--SE, Swedish Defence Research Agency, 2005)
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Simultaneous clustering and determination of number of clusters using particle filtering

Mårtenson, C. and Svenson, P.
Evaluating Sensor Allocations Using Equivalence Classes of Multi-Target Paths
In Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, USA, 25−29 July 2005. IEEE, Piscataway, NJ, 2005, Paper B9-1, pp. 1−8.
(FOI-S--1817--SE, Swedish Defence Research Agency, 2005)
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Defines the concept of equivalent classes of futures and shows how it can be used to evaluate sensor allocations

Svenson, P.
Capabilities-Based Force Aggregation Using Random Sets
In Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, USA, 25−29 July 2005. IEEE, Piscataway, NJ, 2005, Paper C7-4, pp. 1−7.
(FOI-S--1818--SE, Swedish Defence Research Agency, 2005)
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Describes an approach to force aggregation using observed capabilities and task-forces instead of standard doctrines

Sidenbladh, H., Svenson, P. and Schubert, J.
Comparing Future Situation Pictures
In Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, USA, 25−29 July 2005. IEEE, Piscataway, NJ, 2005, Paper C10-4, pp. 1−6.
(FOI-S--1823--SE, Swedish Defence Research Agency, 2005)
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A measure of accuracy in threat prediction and a warning bell in threat analysis

Stavfors, F. and Svensson, P.
Recognizing Mobile Organizations from Column Formations Using Hierarchical Hidden Markov Models: A Simulation Experiment
In Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, USA, 25−29 July 2005. IEEE, Piscataway, NJ, 2005, Paper D3-1, pp. 1−7.
(FOI-S--1824--SE, Swedish Defence Research Agency, 2005)
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Svenson, P.
Exploiting Phase Transitions for Fusion Optimization Problems
In Signal Processing, Sensor Fusion, and Target Recognition XIV, I. Kadar (Ed.), Proceedings of SPIE Vol 5809, Orlando, USA, 28−31 March 2005. SPIE, Bellingham, WA, 2005, pp. 44−52.
(FOI-S--1816--SE, Swedish Defence Research Agency, 2005)
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Reviews the theory of phase transitions in optimization problems and discusses how they can be used in fusion processes

2004

Schubert, J.
Clustering Belief Functions Based on Attracting and Conflicting Metalevel Evidence Using Potts Spin Mean Field Theory
Information Fusion 5(4) (2004) 309−318.
(FOI-S--1414--SE, Swedish Defence Research Agency, 2004)
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The computation of including attracting evidence when clustering belief functions (Dempster-Shafer theory)

Schubert, J., Mårtenson, C., Sidenbladh, H., Svenson, P. and Walter, J.
Methods and System Design of the IFD03 Information Fusion Demonstrator
In Proceedings of the Ninth International Command and Control Research and Technology Symposium, Copenhagen, Denmark, 14−16 September 2004. US Department of Defence CCRP, Washington, DC, 2004.
(FOI-S--1363--SE, Swedish Defence Research Agency, 2004)
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The methods of building a dynamic common operational picture from intelligence reports

Sidenbladh, H.
Detecting Human Motion with Support Vector Machines
In Proceedings of the 17th IAPR International Conference on Pattern Recognition, Cambridge, UK, 23−26 August 2004, pp. 188−191.
(FOI-S--1359--SE, Swedish Defence Research Agency, 2004)
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Ahlberg, S., Hörling, P., Jöred, K., Mårtenson, C., Neider, G., Schubert, J., Sidenbladh, H., Svenson, P., Svensson, P., Undén, K. and Walter, J.
The IFD03 Information Fusion Demonstrator
In Proceedings of the Seventh International Conference on Information Fusion (FUSION 2004), P. Svensson and J. Schubert (Eds.), Stockholm, Sweden, 28 June−1 July 2004. International Society of Information Fusion, 2004, pp. 936−943.
(FOI-S--1353--SE, Swedish Defence Research Agency, 2004)
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Building a dynamic common operational picture from intelligence reports (conference version)

Svensson, P. and Schubert, J. (Eds.)
Proceedings of the Seventh International Conference on Information Fusion (FUSION 2004), Stockholm, Sweden, 28 June−1 July 2004. International Society of Information Fusion, 2004. (Vol I: ISBN 91-7056-115-X, Vol II: ISBN 91-7056-116-8, CD-ROM: ISBN 91-7056-117-6)
(FOI-S--1352--SE, Swedish Defence Research Agency, 2004)
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Sidenbladh, H., Svenson, P. and Schubert, J.
Comparing Multi-Target Trackers on Different Force Unit Levels
In Signal Processing, Sensor Fusion, and Target Recognition XIII, I. Kadar (Ed.), Proceedings of SPIE Vol 5429, Orlando, USA, 12−14 April 2004. SPIE, Bellingham, WA, 2004, pp. 306−314.
(FOI-S--1358--SE, Swedish Defence Research Agency 2004)
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Transforming probability hypothesis densities from different state-spaces and comparing them in order to evaluate the performance of two different trackers

Svenson, P.
Extremal Optimization for Sensor Report Pre-Processing
In Signal Processing, Sensor Fusion, and Target Recognition XIII, I. Kadar (Ed.), Proceedings of SPIE Vol 5429, Orlando, USA, 12−14 April 2004. SPIE, Bellingham, WA, 2004, pp. 162−171.
(FOI-S--1357--SE, Swedish Defence Research Agency 2004)
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Exploiting phase transitions in optimization problems and extremal optimization for assigning reports to tracks

2003

Schubert, J.
Clustering Belief Functions Based on Attracting and Conflicting Metalevel Evidence
In Intelligent Systems for Information Processing: From Representation to Applications, B. Bouchon-Meunier, L. Foulloy and R.R. Yager (Eds.). Elsevier Science, Amsterdam, 2003, pp. 349−360.
(FOI-S--1049--SE, Swedish Defence Research Agency, 2003)
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The mathematics of including attracting evidence when clustering belief functions (Dempster-Shafer theory) (book chaper version)

Sidenbladh, H.
Multi-Target Particle Filtering for the Probability Hypothesis Density
In Proceedings of the Sixth International Conference on Information Fusion (FUSION 2003), Cairns, Australia, 8−11 July 2003. International Society of Information Fusion, 2003, pp. 800−806.
(FOI-S--0937--SE, Swedish Defence Research Agency, 2003)
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Svenson, P. and Sidenbladh, H.
Determining Possible Avenues of Approach Using ANTS
In Proceedings of the Sixth International Conference on Information Fusion (FUSION 2003), Cairns, Australia, July 8−11 2003. International Society of Information Fusion, 2003, pp. 1110−1117.
(FOI-S--0943--SE, Swedish Defence Research Agency, 2003)
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Schubert, J.
Evidential Force Aggregation
In Proceedings of the Sixth International Conference on Information Fusion (FUSION 2003), Cairns, Australia, 8−11 July 2003. International Society of Information Fusion, 2003, pp. 1223−1229.
(FOI-S--0960--SE, Swedish Defence Research Agency, 2003)
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Automatic recognition of military force structures from intelligence reports based on evidential templates using belief functions (Dempster-Shafer theory)

Svensson, P. and Hörling, P.
Building an Information Fusion Demonstrator
In Proceedings of the Sixth International Conference on Information Fusion (FUSION 2003), Cairns, Australia, 8−11 July 2003. International Society of Information Fusion, 2003, pp. 1316−1323.
(FOI-S--0939--SE, Swedish Defence Research Agency, 2003)
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Sidenbladh, H. and Wirkander, S.-L.
Tracking Random Sets of Vehicles in Terrain
In Proceedings of the IEEE International Workshop on Multi-Object Tracking, Madison, USA, 21 June 2003.
(FOI-S--0936--SE, Swedish Defence Research Agency, 2003)
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Carling, C., Svenson, P., Mårtenson, C. and Carlsen, H.
A Flock-Based Model for Ad Hoc Communication Networks
In Proceedings of the Eight International Command and Control Research and Technology Symposium, Washington, DC, USA, 17−19 June 2003. US Department of Defence CCRP, Washington, DC, 2003.
(FOI-S--0919--SE, Swedish Defence Research Agency, 2003)
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Applies graph analysis techniques to study communication networks of swarming military units

2002

Hörling, P., Mojtahed, V., Svensson, P. and Spearing, B.
Adapting a Commercial Simulation Framework to the Needs of Information Fusion Research
In Proceedings of the Fifth International Conference on Information Fusion (FUSION 2002), Annapolis, USA, 8−11 July 2002. International Society of Information Fusion, 2002, pp. 220−227.
(FOI-S--0542--SE, Swedish Defence Research Agency, 2002)
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Schubert, J.
Robust Report Level Cluster-to-Track Fusion
In Proceedings of the Fifth International Conference on Information Fusion (FUSION 2002), Annapolis, USA, 8−11 July 2002. International Society of Information Fusion, 2002, pp. 913−918.
(FOI-S--0525--SE, Swedish Defence Research Agency, 2002)
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Multi-hypothesis measurement-to-track association using clustering and a sliding time window where measurements may be re-associated based on future incoming measurements

Schubert, J.
Clustering Belief Functions Based on Attracting and Conflicting Metalevel Evidence
In Proceedings of the Ninth International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU'02), Annecy, France, 1−5 July 2002, pp. 571−578.
(FOI-S--0524--SE, Swedish Defence Research Agency, 2002)
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The mathematics of including attracting evidence when clustering belief functions (Dempster-Shafer theory) (proceedings version)

Xiong, N. and Svensson, P.
Multi-Sensor Management for Information Fusion: Issues and Approaches
Information Fusion 3(2) (2002) 163−186.
(FOI-S--0505--SE, Swedish Defence Research Agency, 2002)
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2001

Schubert, J.
Reliable Force Aggregation Using a Refined Evidence Specification from Dempster-Shafer Clustering
In Proceedings of the Fourth International Conference on Information Fusion (FUSION 2001), Montréal, Canada, 7−10 August 2001. International Society of Information Fusion, Sunnyvale, 2001, pp. TuB3/15−22.
(FOI-S--0050--SE, Swedish Defence Research Agency, 2001)
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Deep integration of clustering and classification into an integrated aggregation method using belief functions (Dempster-Shafer theory)

Cantwell, J., Schubert, J. and Walter J.
Conflict-Based Force Aggregation
In Proceedings of the Sixth International Command and Control Research and Technology Symposium, Annapolis, USA, 19−21 June 2001. US Department of Defence CCRP, Washington, DC, 2001.
(FOI-S--0040--SE, Swedish Defence Research Agency, 2001)
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Automatic recognition of military force structures from intelligence reports based on conflicts using belief functions (Dempster-Shafer theory)

Bengtsson, M. and Schubert, J.
Dempster-Shafer Clustering Using Potts Spin Mean Field Theory
Soft Computing 5(3) (2001) 215−228.
(FOI-S--0027--SE, Swedish Defence Research Agency, 2001)
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The fastest clustering of belief functions (Dempster-Shafer theory) using Potts spin: The methods

2000

Björnfot, J. and Svensson, P.
Modeling the Column Recognition Problem in Tactical Information Fusion
In Proceedings of the Third International Conference on Information Fusion (FUSION 2000), Paris, France, 10−13 July 2000. International Society of Information Fusion, Sunnyvale, 2000, pp. MoD1/24−30.
(FOA-B--00-00621-505--SE, Defence Research Establishment, 2000)
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Schubert, J.
Managing Inconsistent Intelligence
In Proceedings of the Third International Conference on Information Fusion (FUSION 2000), Paris, France, 10−13 July 2000. International Society of Information Fusion, Sunnyvale, 2000, pp. TuB4/10−16.
(FOA-B--00-00619-505--SE, Defence Research Establishment, 2000)
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Applying Potts Spin clustering of belief functions (Dempster-Shafer theory) to intelligence analysis: The processes

1999

Schubert, J.
Fast Dempster-Shafer Clustering Using a Neural Network Structure
In Information, Uncertainty and Fusion, B. Bouchon-Meunier, R.R. Yager, L.A. Zadeh (Eds.). Kluwer Academic Publishers, Boston, 1999, pp. 419−430.
(FOA-B--99-00504-505--SE, Defence Research Establishment, 1999)
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Clustering belief functions (Dempster-Shafer theory) with neural networks (book chapter version)

Schubert, J.
Simultaneous Dempster-Shafer Clustering and Gradual Determination of Number of Clusters Using a Neural Network Structure
In Proceedings of the 1999 Information, Decision and Control Conference (IDC'99), Adelaide, Australia, 8−10 February 1999. IEEE, Piscataway, 1999, pp. 401−406.
(FOA-B--99-00431-505--SE, Defence Research Establishment, 1999)
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Clustering belief functions (Dempster-Shafer theory) with neural networks when the number of sources is unknown

1998

Schubert, J.
A Neural Network and Iterative Optimization Hybrid for Dempster-Shafer Clustering
In Proceedings of EuroFusion98 International Conference on Data Fusion (EF'98), M. Bedworth, J. O'Brien (Eds.), Great Malvern, UK, 6−7 October 1998, pp. 29−36.
(FOA-B--98-00383-505--SE, Defence Research Establishment, 1998)
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A hybrid algorithm where a neural clustering result is fed as the initial state to iterative optimization in order to improve performance using belief functions (Dempster-Shafer theory)

Schubert, J.
Fast Dempster-Shafer Clustering Using a Neural Network Structure
In Proceedings of the Seventh International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU'98), Université de La Sorbonne, Paris, France, 6−10 July 1998. Editions EDK, Paris, 1998, pp. 1438−1445.
(FOA-B--98-00355-505--SE, Defence Research Establishment, 1998)
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Clustering belief functions (Dempster-Shafer theory) with neural networks (proceedings version)

Svensson, P.
Archipelagic ASW - a Difficult Enterprise in Need of Holistic Approaches
In Proceedings of the International Conference on Multisource-Multisensor Information Fusion (FUSION'98), Las Vegas, USA, 6−9 July 1998. CSREA Press, Athens, 1998, pp. 410−417.
(FOA-B--98-00363-505--SE, Defence Research Establishment, 1998)
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Jöred, K. and Svensson, P.
Target Tracking in Archipelagic ASW: A Not-so-Impossible Proposition?
In Proceedings of Undersea Defence Technology Europe 98 (UDT Europe 98), P. Tyrell (Ed.), London, UK, 23−25 June 1998. Nexus Media Ltd., Swanley, 1998, pp. 172−175.
(FOA-B--98-00364-505--SE, Defence Research Establishment, 1998)
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1997

Johansson, K., Jöred K. and Svensson, P.
Submarine Tracking Using Multi-Sensor Fusion and Reactive Planning for the Positioning of Passive Sonobuoys
In Proceedings of Hydroakustik 1997, N. Hörnqvist and E. Norrbrand (Eds.), Stockholm, Sweden, 9−10 September 1997.
(FOA-R--97-00552-409--SE, Defence Research Establishment, Stockholm, 1997)
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Bergsten, U., Schubert, J. and Svensson, P.
Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis
In Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD'97), D. Heckerman, H. Mannila, D. Pregibon, R. Uthurusamy (Eds.), Newport Beach, USA, 14−17 August 1997. The AAAI Press, Menlo Park, pp. 127−130.
(FOA-B--97-00263-505--SE, Defence Research Establishment, 1997)
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Analyzing intelligence reports regarding submarine frontier incidents in Swedish territorial waters

Schubert, J.
Creating Prototypes for Fast Classification in Dempster-Shafer Clustering
In Qualitative and Quantitative Practical Reasoning, D. M. Gabbay, R. Kruse, A. Nonnengart, H. J. Ohlbach (Eds.), Proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning (ECSQARU-FAPR'97), Bad Honnef, Germany, 9−12 June 1997. Springer-Verlag (LNAI 1244), Berlin, 1997, pp. 525−535.
(FOA-B--97-00244-505--SE, Defence Research Establishment, 1997)
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Changing a clustering problem into a fast classification problem using belief functions (Dempster-Shafer theory)

1996

Schubert, J.
Specifying Nonspecific Evidence
International Journal of Intelligent Systems 11(8), 525−563, 1996.
(FOA-B--96-00174-3.4--SE, Defence Research Establishment, 1996)
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Using incremental results when clustering belief functions (Dempster-Shafer theory) in order to specify propositions

1995

Schubert, J.
On ρ in a Decision-Theoretic Apparatus of Dempster-Shafer Theory
International Journal of Approximate Reasoning 13(3), 185−200, 1995.
(FOA-B--95-00097-3.4--SE, Defence Research Establishment, 1995)
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Decision making for competing decision makers using belief functions (Dempster-Shafer theory)

Schubert, J.
Cluster-Based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of MultipleTarget Tracks (Thesis Abstract)
AI Communications 8(2) (1995) 107−110.
(FOA-B--95-00079-3.4--SE, Defence Research Establishment, 1995)
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Schubert, J.
Cluster-Based Specification Techniques in Dempster-Shafer Theory
In Symbolic and Quantitative Approaches to Reasoning and Uncertainty, C. Froidevaux and J. Kohlas (Eds.), Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'95), Université de Fribourg, Switzerland, 3−5 July 1995. Springer-Verlag (LNAI 946), Berlin, 1995, pp. 395−404.
(FOA-B--95-00078-3.4--SE, Defence Research Establishment, 1995)
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A summary of three articles on clustering belief functions (Dempster-Shafer theory)

Schubert, J.
Finding a Posterior Domain Probability Distribution by Specifying Nonspecific Evidence
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 3(2) (1995) 163−185.
(FOA-B--95-00077-3.4--SE, Defence Research Establishment, 1995)
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Finding the number of source when clustering belief functions (Dempster-Shafer theory)

1994

Schubert, J.
Cluster-Based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of Multiple Target Tracks
Ph.D. Thesis, TRITA-NA-9410, ISRN KTH/NA/R--94/10--SE, ISSN 0348-2952, ISBN 91-7170-801-4. Royal Institute of Technology, Sweden, 1994.
(FOA-B--94-00014-3.4--SE, Defence Research Establishment, 1994) (available free of charge upon request to Johan Schubert) (Advisor: Prof. Stefan Arnborg, Opponent: Prof. Philippe Smets)

1993

Bergsten, U. and Schubert, J.
Dempster's Rule for Evidence Ordered in a Complete Directed Acyclic Graph
International Journal of Approximate Reasoning 9(1) (1993) 37−73.
(FOA Report B 20114-2.7, Defence Research Establishment, 1993)
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A fast algorithm for calculating belief in transitions through states using belief functions (Dempster-Shafer theory)

Schubert, J.
On Nonspecific Evidence
International Journal of Intelligent Systems 8(6) (1993) 711−725.
(FOA Report B 20112-2.7, Defence Research Establishment, 1993)
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The first article on clustering belief functions (Dempster-Shafer theory)

1989

Bergsten, U., Schubert, J. and Svensson, P.
Beslutsstödssystemet DEZZY - En översikt
In Dokumentation 7 juni av Seminarium och fackutställning om samband, sensorer och datorer för ledningssystem till försvaret (MILINF'89), Enköping, Sweden, 5−9 June 1989. Telub AB, Växjö, 1989, pp. 07B2:19-31.
(FOA Report B 20078-2.7, Defence Research Establishment, 1989)
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An anti-submarine warfare decision support system analyzing submarine intelligence reports

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