Search results for "Dempster"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
85	Ronald R. Yager	Decision Making Under Dempster-Shafer Uncertainties.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	Uncertainty, Decision making, Dempster-shafer theory
80	Hakan Altinçay	On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence.	Appl. Intell.	2006	DBLP DOI BibTeX RDF	Dempster’s combination rule, Independent classifiers, Dependent classifiers, Pattern classification, Dempster-Shafer theory, Classifier combination
79	Weiru Liu, Jun Hong 0001	Reinvestigating Dempster's Idea on Evidence Combination.	Knowl. Inf. Syst.	2000	DBLP DOI BibTeX RDF
79	Thierry Denoeux	A k -Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
79	John Yen	Generalizing the Dempster-Shafer Theory to Fuzzy Sets.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
74	Bae-Muu Chang, Hung-Hsu Tsai, Pao-Ta Yu	Character Recognition Based on Neural Network and Dempster-Shafer Theory.	ICTAI (2)	2007	DBLP DOI BibTeX RDF	Mass functions, Basic probability assignment, Character recognition, Recurrent neural network, Dempster-Shafer theory
70	Jürg Kohlas, Paul-André Monney	Representation of Evidence by Hints.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	Plausibility functions, Dempster’s rule, Evidence, Hints, Support functions
70	Galina L. Rogova	Combining the Results of Several Neural Network Classifiers.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	The Dempster-Shafer theory of evidence, Neural network, Character recognition, Classifier, Evidence
68	Wei Xiong	Analyzing a Paradox in Dempster-Shafer Theory.	FSKD (5)	2008	DBLP DOI BibTeX RDF
68	Arthur P. Dempster	A Generalization of Bayesian Inference.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
68	Arthur P. Dempster	Upper and Lower Probabilities Induced by a Multivalued Mapping.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
68	Arthur P. Dempster	New Methods for Reasoning Towards PosteriorDistributions Based on Sample Data.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
68	Arthur P. Dempster	Logicist Statistics II: Inference.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
68	Glenn Shafer, Roger Logan	Implementing Dempster's Rule for Hierarchical Evidence.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
63	Yaxin Bi, Sally I. McClean, Terry J. Anderson	Combining rough decisions for intelligent text mining using Dempster's rule.	Artif. Intell. Rev.	2006	DBLP DOI BibTeX RDF	Dempster’s rule of combination, Rough set, Text mining, Rule induction
60	Philippe Smets, Robert Kennes	The Transferable Belief Model.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	quantified beliefs, Dempster-Shafer theory, Belief function
60	Glenn Shafer	Belief Functions and Parametric Models.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	Constructive probability, Dempster’s rule, Fiducial inference, Lower probabilities, Belief functions, Parametric models, Bayesian statistics, Exchangeability, Likelihood
59	Christopher Roesmer	Some convergence results in Dempster-Shafer theory.	Soft Comput.	2002	DBLP DOI BibTeX RDF	Infinite frame of discernment, Dempster-Shafer random variable, Dempster-Shafer theory
57	Wentao Zhao, Tao Fang, Yan Jiang	Data Fusion Using Improved Dempster-Shafer Evidence Theory for Vehicle Detection.	FSKD (1)	2007	DBLP DOI BibTeX RDF
57	Liping Liu, Ronald R. Yager	Classic Works of the Dempster-Shafer Theory of Belief Functions: An Introduction.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
55	Mieczyslaw A. Klopotek, Slawomir T. Wierzchon	Qualitative Versus Quantitative Interpretation of the Mathematical Theory of Evidence.	ISMIS	1997	DBLP DOI BibTeX RDF	qualitative interpretation of Dempster rule, relational databases, Soft Computing, rough set theory, Dempster-Shafer theory, Knowledge Representation and Integration
54	John D. Lowrance, Thomas D. Garvey, Thomas M. Strat	A Framework for Evidential-Reasoning Systems.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
54	Jean Gordon, Edward H. Shortliffe	A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
54	Enrique H. Ruspini	Epistemic Logics, Probability, and the Calculus of Evidence.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
54	Jeffrey A. Barnett	Computational Methods for A Mathematical Theory of Evidence.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
53	Laurence Cholvy	Using Logic to Understand Relations between DSmT and Dempster-Shafer Theory.	ECSQARU	2009	DBLP DOI BibTeX RDF	DSmT, Dempster-Shafer Theory, Propositional Logic
53	Milan Daniel	The DSm Approach as a Special Case of the Dempster-Shafer Theory.	ECSQARU	2007	DBLP DOI BibTeX RDF	DSm theory, Overlapping elements, Exclusive elements, Non-separable elements, Constraints, Dempster-Shafer theory, Belief functions
53	Suvasini Panigrahi, Amlan Kundu 0002, Shamik Sural, Arun K. Majumdar	Use of Dempster-Shafer Theory and Bayesian Inferencing for Fraud Detection in Mobile Communication Networks.	ACISP	2007	DBLP DOI BibTeX RDF	Dempster-Shafer theory, fraud detection, Bayesian learning, Mobile communication networks
53	Anjan Sarkar, Nilanjan Banerjee, P. Nair, Anjan Banerjee, Siddhartha Brahma, B. Kartikeyan, Kantilal L. Majumder	A MRF Based Segmentatiom Approach to Classification Using Dempster Shafer Fusion for Multisensor Imagery.	ICIAR (2)	2004	DBLP DOI BibTeX RDF	Hotellings T2, Fishers discriminant, Markov Random Field(MRF), Dempster-Shafer Theory
53	Mohammad Reza Ahmadzadeh, Maria Petrou	Use of Dempster-Shafer theory to combine classifiers which use different class boundaries.	Pattern Anal. Appl.	2003	DBLP DOI BibTeX RDF	Expert rules, Fuzzy logic, Bayesian networks, Dempster-Shafer theory, Classifier combination
53	Mats Bengtsson, Johan Schubert	Dempster-Shafer clustering using Potts spin mean field theory.	Soft Comput.	2001	DBLP DOI BibTeX RDF	Dempster, Shafer theory, Potts spin, Clustering, Neural network, Simulated annealing
53	Jeffrey A. Barnett	Calculating Dempster-Shafer Plausibility.	IEEE Trans. Pattern Anal. Mach. Intell.	1991	DBLP DOI BibTeX RDF	plausible reasoning, Dempster-Shafer, belief calculus, probability, probability, inference mechanisms, decision theory, decision theory, equality, calculus, sufficient condition, choice, plausibility
47	Daqiang Zhang, Jiannong Cao 0001, Jingyu Zhou, Minyi Guo	Extended Dempster-Shafer Theory in Context Reasoning for Ubiquitous Computing Environments.	CSE (2)	2009	DBLP DOI BibTeX RDF
47	Thomas M. Chen, Varadharajan Venkataramanan	Dempster-Shafer Theory for Intrusion Detection in Ad Hoc Networks.	IEEE Internet Comput.	2005	DBLP DOI BibTeX RDF	intrusion detecction, security, ad hoc networks, peer to peer
47	Zhonghui Hu, Yunze Cai, Ye Li, Yuangui Li, Xiaoming Xu	Data Fusion for Fault Diagnosis Using Dempster-Shafer Theory Based Multi-class SVMs.	ICNC (2)	2005	DBLP DOI BibTeX RDF
47	Fabio Cuzzolin	Geometry of Dempster's rule of combination.	IEEE Trans. Syst. Man Cybern. Part B	2004	DBLP DOI BibTeX RDF
47	Lan Guo, Bojan Cukic, Harshinder Singh	Predicting Fault Prone Modules by the Dempster-Shafer Belief Networks.	ASE	2003	DBLP DOI BibTeX RDF
47	Yoshiaki Sugie, Tetsunori Kobayashi	Media-Integrated Biometric Person Recognition Based on the Dempster-Shafer Theory.	ICPR (4)	2002	DBLP DOI BibTeX RDF
47	Paul-André Monney	Dempster Specialization Matrices and the Combination of Belief Functions.	ECSQARU	2001	DBLP DOI BibTeX RDF
43	Yanshen Zhu, Maria T. Bull, Haluk M. Akin, José A. Sepúlveda, Luis Rabelo	Information fusion in underwater sonar simulation.	WSC	2008	DBLP DOI BibTeX RDF
43	ShengLi Shi, M. Elizabeth C. Hull, David A. Bell	A New Rule for Updating Evidence.	ISMIS	1994	DBLP DOI BibTeX RDF
43	Glenn Shafer, Amos Tversky	Languages and Designs for Probability Judgment.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
43	Glenn Shafer	Constructive Probability.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
43	Prakash P. Shenoy, Glenn Shafer	Axioms for Probability and Belief-Function Propagation.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
43	Glenn Shafer	Allocations of Probability.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	Allocation of probability, Upper and lower probabilities, Capacity, Continuity, Belief function, Condensability
43	Alain Chateauneuf, Jean-Yves Jaffray	Some Characterizations of Lower Probabilities and Other Monotone Capacities through the use of Möbius Inversion.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	Lower probabilities, Möbius inversion, Representation of uncertainty, Capacities, Decision theory, Belief functions
43	Glenn Shafer	Non-Additive Probabilities in the Work of Bernoulli and Lambert.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
43	Jean-Yves Jaffray	Bayesian Updating and Belief Functions.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
43	Ronald R. Yager	Entropy and Specificity in a Mathematical Theory of Evidence.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	Specificity, Entropy, Fuzzy sets, Belief, Plausibility
43	Hung T. Nguyen 0002	On Random Sets and Belief Functions.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
43	Didier Dubois, Henri Prade	A Set-Theoretic View of Belief Functions.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	Theory of evidence, Knowledge representation, Fuzzy set, Possibility measure
43	Rajendra P. Srivastava, Glenn R. Shafer	Belief-Function Formulas for Audit Risk.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	Audit risk, Planning model, Belief functions, Evaluation model
43	Nevin Lianwen Zhang	Weights of Evidence and Internal Conflict for Support Functions.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF
43	Philippe Smets	Belief Functions: The Disjunctive Rule of Combination and the Generalized Bayesian Theorem.	Classic Works of the Dempster-Shafer Theory of Belief Functions	2008	DBLP DOI BibTeX RDF	Bayes’ theorem, Disjunctive rule of combination, Belief functions
42	Mohammad Shoyaib, Mohammad Abdullah-Al-Wadud, Oksam Chae	A Reliable Skin Detection Using Dempster-Shafer Theory of Evidence.	ICCSA (2)	2009	DBLP DOI BibTeX RDF	Skin Detection, Dempster-Shafer Theory of Evidence
42	Lixin Shi, Jian-Yun Nie, Guihong Cao	Relating dependent indexes using dempster-shafer theory.	CIKM	2008	DBLP DOI BibTeX RDF	information retrieval, indexing, dempster-shafer theory, chinese, term dependency
42	Vassilis Plachouras, Iadh Ounis	Dempster-Shafer Theory for a Query-Biased Combination of Evidence on the Web.	Inf. Retr.	2005	DBLP DOI BibTeX RDF	combination of content and link analysis, query-biased combination of evidence, query scope, Web information retrieval, Dempster-Shafer theory of evidence
42	Dong Yu 0001, Deborah A. Frincke	Alert confidence fusion in intrusion detection systems with extended Dempster-Shafer theory.	ACM Southeast Regional Conference (2)	2005	DBLP DOI BibTeX RDF	alert confidence fusion, hidden colored Petri-Net, intrusion detection system, alert correlation, Dempster-Shafer theory of evidence
42	Tetsuya Murai, Yasuo Kudo	New Logical Classes of Plausibility Functions in Dempster-Shafer Theory of Evidence.	KES (4)	2005	DBLP DOI BibTeX RDF	Plausibility Functions, Measure-Based Semantics, Modal Logic, Dempster-Shafer Theory of Evidence
40	Arthur P. Dempster	The Dempster-Shafer calculus for statisticians.	Int. J. Approx. Reason.	2008	DBLP DOI BibTeX RDF
40	Arthur P. Dempster, Wai Fung Chiu	Dempster-Shafer models for object recognition and classification.	Int. J. Intell. Syst.	2006	DBLP DOI BibTeX RDF
38	Marek Z. Reformat, Ronald R. Yager	Building ensemble classifiers using belief functions and OWA operators.	Soft Comput.	2008	DBLP DOI BibTeX RDF	Ensemble systems, Dempster-Shafer evidence theory, Belief functions, Ordered weighted averaging operator, Rule-based models
38	Hongwei Zhu, Otman A. Basir	A novel fuzzy evidential reasoning paradigm for data fusion with applications in image processing.	Soft Comput.	2006	DBLP DOI BibTeX RDF	Dempster-Shafer evidence theory, Fuzzy evidential reasoning, Image classification and segmentation, Data fusion
38	Rashid Hafeez Khokhar, David A. Bell, Jiwen Guan, Qingxiang Wu	Risk Assessment of E-Commerce Projects Using Evidential Reasoning.	FSKD	2006	DBLP DOI BibTeX RDF	Financial Engineering, Software Performance Evaluation, Dempster-Shafer Theory, Evidential Reasoning, E-Commerce Application
38	Chen Li Poh, Chu Kiong Loo, M. V. C. Rao	Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier.	ICONIP (2)	2006	DBLP DOI BibTeX RDF	clustering, Dempster-shafer theory, k-means algorithm
38	Theodora Tsikrika, Mounia Lalmas	Modelling Good Entry Pages on the Web.	ISMIS	2005	DBLP DOI BibTeX RDF	best entry pages, formal model, Web Information Retrieval, Dempster-Shafer theory of evidence
38	Cuong Anh Le, Van-Nam Huynh, Akira Shimazu	An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation.	MLDM	2005	DBLP DOI BibTeX RDF	Weighted combination of classifiers, Computational linguistics, Word sense disambiguation, Dempster-Shafer theory of evidence
38	Takahiko Horiuchi, Kazuo Toraichi, Kazuhiko Yamamoto, Hiromitsu Yamada	Relaxation optimizing processes in extended probabilistic space.	ICDAR	1995	DBLP DOI BibTeX RDF	relaxation optimizing processes, extended probabilistic space, probability theoretic model, relaxation matching method, Dempster-Shafer, pattern recognition, image processing, probability, image recognition, iterative methods, incompleteness
38	Robert A. Hummel, Michael S. Landy	A Statistical Viewpoint on the Theory of Evidence.	IEEE Trans. Pattern Anal. Mach. Intell.	1988	DBLP DOI BibTeX RDF	Bayesian rules, combination formulas, artificial intelligence, artificial intelligence, expert systems, expert systems, statistical analysis, statistics, Bayes methods, Dempster-Shafer theory, evidence theory
38	Harry E. Stephanou, Shin-Yee Lu	Measuring Consensus Effectiveness by a Generalized Entropy Criterion.	IEEE Trans. Pattern Anal. Mach. Intell.	1988	DBLP DOI BibTeX RDF	consensus effectiveness, knowledge sources, artificial intelligence, uncertainty, entropy, information theory, knowledge engineering, knowledge engineering, set theory, set theory, concept, Dempster-Shafer theory
36	Nguyen-Thanh Nhan, Thuc Kieu-Xuan, Insoo Koo	Cooperative Spectrum Sensing Using Enhanced Dempster-Shafer Theory of Evidence in Cognitive Radio.	ICIC (2)	2009	DBLP DOI BibTeX RDF	Cooperative spectrum sensing, Dempter-Shafer theory of evidence, Data fusion, Cognitive radio
36	Andriy Nikolov, Victoria S. Uren, Enrico Motta, Anne N. De Roeck	Using the Dempster-Shafer Theory of Evidence to Resolve ABox Inconsistencies.	URSW (LNCS Vol.)	2008	DBLP DOI BibTeX RDF
36	Hexin Lv, Bin Zhu, Yongchuan Tang	Conditional Dempster-Shafer Theory for Uncertain Knowledge Updating.	IFSA (1)	2007	DBLP DOI BibTeX RDF
36	Antonio Sanfilippo, Bob Baddeley, Christian Posse, Paul Whitney	A Layered Dempster-Shafer Approach to Scenario Construction and Analysis.	ISI	2007	DBLP DOI BibTeX RDF
36	Richa Singh 0001, Mayank Vatsa, Afzel Noore, Sanjay K. Singh	Dempster-Shafer Theory Based Classifier Fusion for Improved Fingerprint Verification Performance.	ICVGIP	2006	DBLP DOI BibTeX RDF
36	Ronald R. Yager	Cumulative distribution functions from Dempster-Shafer belief structures.	IEEE Trans. Syst. Man Cybern. Part B	2004	DBLP DOI BibTeX RDF
36	Zenon A. Sosnowski, Jaroslaw S. Walijewski	Genetic-Based Tuning of Fuzzy Dempster-Shafer Model.	Fuzzy Days	2004	DBLP DOI BibTeX RDF
36	Bin Zhang 0002, Sargur N. Srihari	Class-wise multi-classifier combination based on Dempster-Shafer theory.	ICARCV	2002	DBLP DOI BibTeX RDF
36	Sunil Choenni, Henk M. Blanken	A Dempster-Shafer Approach to Physical Database Design.	AIMSA	2002	DBLP DOI BibTeX RDF
36	Young-Chul Kim, Sung-Bae Cho, Sang-Rok Oh	The Dempster-Shafer Approach to Map-Building for an Autonomous Mobile Robot with Fuzzy Controller.	AFSS	2002	DBLP DOI BibTeX RDF
36	Wojciech Pieczynski	Unsupervised Dempster-Shafer Fusion of Dependent Sensors.	SSIAI	2000	DBLP DOI BibTeX RDF
36	Arthur Filippidis	Fuzzy and Dempster-Shafer evidential reasoning fusion methods for deriving action from surveillance observations.	KES	1999	DBLP DOI BibTeX RDF
36	Mounia Lalmas	Information retrieval and Dempster-Shafer's theory of evidence.	Applications of Uncertainty Formalisms	1998	DBLP DOI BibTeX RDF
32	Fabio Cuzzolin	A Geometric Approach to the Theory of Evidence.	IEEE Trans. Syst. Man Cybern. Part C	2008	DBLP DOI BibTeX RDF
32	Fabio Cuzzolin	Dual Properties of the Relative Belief of Singletons.	PRICAI	2008	DBLP DOI BibTeX RDF
32	Fábio Campos, André Neves, Rodrigo Souza	A First Step towards an Epistemology of the Subjective Uncertainty: Its Premises and Modeling.	FSKD (1)	2007	DBLP DOI BibTeX RDF
32	Yaxin Bi, Shengli Wu 0001, Xuming Huang, Gongde Guo	Combining Multiple Sets of Rules for Improving Classification Via Measuring Their Closenesses.	PRICAI	2006	DBLP DOI BibTeX RDF
32	Johan Kwisthout, Mehdi Dastani	Modelling Uncertainty in Agent Programming.	DALT	2005	DBLP DOI BibTeX RDF
32	Y. Alp Aslandogan, Gauri A. Mahajani, Stan Taylor	Evidence Combination in Medical Data Mining.	ITCC (2)	2004	DBLP DOI BibTeX RDF
32	Jiacheng Zheng, Yongchuan Tang	Fuzzy Modeling Incorporated with Fuzzy D-S Theory and Fuzzy Naive Bayes.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF
31	Fei Dong, Sol M. Shatz, Haiping Xu	Inference of Online Auction Shills Using Dempster-Shafer Theory.	ITNG	2009	DBLP DOI BibTeX RDF	Shill bidding, shill verification, auction fraud, Dempster-Shafer theory, online auctions
31	Yanzi Miao, Jianwei Zhang 0001, Houxiang Zhang, Xiaoping Ma, Zhongxiang Zhao	Coal and Gas Outburst Prediction Combining a Neural Network with the Dempster-Shafter Evidence.	ISNN (2)	2008	DBLP DOI BibTeX RDF	Dempster-Shafter Evidence Theory, Coal and Gas Outburst Prediction, Neural Network
31	José M. Merigó, Montserrat Casanovas, Luis Martínez-López 0001	A Decision Making Model Based on Dempster-Shafer Theory and Linguistic Hybrid Aggregation Operators.	HIS	2008	DBLP DOI BibTeX RDF	2-tuple linguistic representation model, Hybrid Aggregation Operators, Decision Making, Dempster-Shafer Theory
29	Nader Ebrahimpour	Endüstriyel nesnelerin internetinde derin öğrenme ve dempster shafer teorisine dayalı karar verme (Deep learning and dempster shafer theory based decision-making in the industrial internet of things)		2022	RDF
29	Zheng Tong	Evidential deep neural network in the framework of Dempster-Shafer theory. (Réseau de neurones profonds probants dans le cadre de la théorie de Dempster-Shafer).		2022	RDF
29	Yassir Idmessaoud	Uncertainty assessment in safety argument structures - An approach based on Dempster-Shafer Theory. (Évaluation de l'incertitude dans des argumentaires de sécurité - Une approche basée sur la théorie de Dempster-Shafer).		2022	RDF
29	Albena Tchamova, Jean Dezert	On the behavior of Dempster's rule of combination and the foundations of Dempster-Shafer Theory.	IEEE Conf. of Intelligent Systems	2012	DBLP DOI BibTeX RDF
29	Brian Maguire, Sachi Desai	Dempster-Shafer fusion for personnel detection: Application of Dempster-Shafer theory with ultrasonic micro-Doppler and PIR sensors.	FUSION	2012	DBLP BibTeX RDF
29	Dennis M. Buede	Shafer-Dempster and Bayesian reasoning: a response to 'Shafer-Dempster reasoning with applications to multisensor target identification systems'.	IEEE Trans. Syst. Man Cybern.	1988	DBLP DOI BibTeX RDF
28	Anas Dahabiah, John Puentes, Basel Solaiman	Imperfect Pattern Recognition Using the Fuzzy Measure Theory.	IDEAL	2009	DBLP DOI BibTeX RDF	pattern recognition, similarity measuring, Dempster-Shafer theory, possibility theory