The International Conference on Information Processing and Management of - certainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. Since 1986, this conference has been providing a forum for the exchange of ideas between th theoreticians and practitioners working in these areas and related ?elds. The 13 IPMU conference took place in Dortmund, Germany, June 28–July 2, 2010. This volume contains 79 papers selected through a rigorous reviewing process. The contributions re?ect the richness of research on topics within the scope of the conference and represent several important developments, speci?cally focused on theoretical foundations and methods for information processing and management of uncertainty in knowledge-based systems. We were delighted that Melanie Mitchell (Portland State University, USA), Nihkil R. Pal (Indian Statistical Institute), Bernhard Sch ̈ olkopf (Max Planck I- titute for Biological Cybernetics, Tubing ̈ en, Germany) and Wolfgang Wahlster (German Research Center for Arti?cial Intelligence, Saarbruc ̈ ken) accepted our invitations to present keynote lectures. Jim Bezdek received the Kamp ́ede F ́ eriet Award, granted every two years on the occasion of the IPMU conference, in view of his eminent research contributions to the handling of uncertainty in clustering, data analysis and pattern recognition.

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zlib/Computers/Computer Science/Marco Baioletti, Giuseppe Busanello, Barbara Vantaggi (auth.), Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann (eds.)/Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods: 13th International Conference, IPMU 2010, Dortmund, Germany, June 28–July 2, 2010. Proceedings, Part I_2100994.pdf

Information Processing and Management of Uncertainty in Knowledge-Based Systems: 13th International Conference, IPMU 2010, Dortmund, Germany, June ... in Computer and Information Science (80))

Information Processing and Management of Uncertainty in Knowledge-Based Systems Pt. I: 13th International Conference, IPMU 2010, Dortmund, Germany, June 28-July 2, 2010. Proceedings, Part I

Information processing and management of uncertainty in knowledge-based systems : 13th international conference, IPMU 2010, Dortmund, Germany, June 28-July 2, 2010 : proceedings / monograph

Information processing and management of uncertainty in knowledge-based systems Pt. 1. Theory and methods

International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

Eyke H©ơllermeier

Spektrum Akademischer Verlag. in Springer-Verlag GmbH

Steinkopff. in Springer-Verlag GmbH

Springer London, Limited

Communications in computer and information science, 80, 1st ed, Berlin, Heidelberg, 2010

Communications in computer and information science, Berlin Heidelberg New York NY, 2010

Springer Nature, Berlin, Heidelberg, 2010

Germany, Germany

sm22733489

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Front Matter....Pages -
An Algorithm to Find a Perfect Map for Graphoid Structures....Pages 1-10
An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network....Pages 11-20
Possibilistic Graphical Models and Compositional Models....Pages 21-30
Bayesian Networks vs. Evidential Networks: An Application to Convoy Detection....Pages 31-39
Approximation of Data by Decomposable Belief Models....Pages 40-49
A Gambler’s Gain Prospects with Coherent Imprecise Previsions....Pages 50-59
Infinite Exchangeability for Sets of Desirable Gambles....Pages 60-69
Ergodicity Conditions for Upper Transition Operators....Pages 70-79
An Empirical Comparison of Bayesian and Credal Set Theory for Discrete State Estimation....Pages 80-89
On the Complexity of Non-reversible Betting Games on Many-Valued Events....Pages 90-97
Sequential Decision Processes under Act-State Independence with Arbitrary Choice Functions....Pages 98-107
Similarity-Based Equality with Lazy Evaluation....Pages 108-117
Progressive Reasoning for Complex Dialogues among Agents....Pages 118-127
Measuring Instability in Normal Residuated Logic Programs: Discarding Information....Pages 128-137
Implementing Prioritized Merging with ASP....Pages 138-147
An Interactive Algorithm to Deal with Inconsistencies in the Representation of Cardinal Information....Pages 148-157
Characterization of Complete Fuzzy Preorders Defined by Archimedean t-Norms....Pages 158-167
Rectification of Preferences in a Fuzzy Environment....Pages 168-178
Identification of Speakers by Name Using Belief Functions....Pages 179-188
Constructing Multiple Frames of Discernment for Multiple Subproblems....Pages 189-198
Conflict Interpretation in a Belief Interval Based Framework....Pages 199-208
Evidential Data Association Filter....Pages 209-217
Maintaining Evidential Frequent Itemsets in Case of Data Deletion....Pages 218-227
TS-Models from Evidential Clustering....Pages 228-237
Measuring Impact of Diversity of Classifiers on the Accuracy of Evidential Ensemble Classifiers....Pages 238-247
Multiplication of Multinomial Subjective Opinions....Pages 248-257
Evaluation of Information Reported: A Model in the Theory of Evidence....Pages 258-267
Gradual Evaluation of Granules of a Fuzzy Relation: R-related Sets....Pages 268-277
Combined Bayesian Networks and Rough-Granular Approaches for Discovery of Process Models Based on Vehicular Traffic Simulation....Pages 278-287
On Scalability of Rough Set Methods....Pages 288-297
Interestingness Measures for Association Rules within Groups....Pages 298-307
Data Mining in RL-Bags....Pages 308-317
Feature Subset Selection for Fuzzy Classification Methods....Pages 318-327
Restricting the IDM for Classification....Pages 328-337
Estimation of Possibility-Probability Distributions....Pages 338-347
Bayesian Assaying of GUHA Nuggets....Pages 348-355
Rank Correlation Coefficient Correction by Removing Worst Cases....Pages 356-364
Probabilistic Relational Learning for Medical Diagnosis Based on Ion Mobility Spectrometry....Pages 365-375
Automated Gaussian Smoothing and Peak Detection Based on Repeated Averaging and Properties of a Spectrum’s Curvature....Pages 376-385
Uncertainty Interval Expression of Measurement: Possibility Maximum Specificity versus Probability Maximum Entropy Principles....Pages 386-395
Lazy Induction of Descriptions Using Two Fuzzy Versions of the Rand Index....Pages 396-405
Fuzzy Clustering-Based Filter....Pages 406-415
Fuzzy Classification of Nonconvex Data-Inherent Structures....Pages 416-425
Fuzzy-Pattern-Classifier Training with Small Data Sets....Pages 426-435
Temporal Linguistic Summaries of Time Series Using Fuzzy Logic....Pages 436-445
A Comparison of Five Fuzzy Rand Indices....Pages 446-454
Identifying the Risk of Attribute Disclosure by Mining Fuzzy Rules....Pages 455-464
Explicit Descriptions of Associative Sugeno Integrals....Pages 465-470
Continuity of Choquet Integrals of Supermodular Capacities....Pages 471-479
Inclusion-Exclusion Integral and Its Application to Subjective Video Quality Estimation....Pages 480-489
Fuzzy Measure Spaces Generated by Fuzzy Sets....Pages 490-499
Absolute Continuity of Monotone Measure and Convergence in Measure....Pages 500-504
An Axiomatic Approach to Fuzzy Measures Like Set Cardinality for Finite Fuzzy Sets....Pages 505-514
Choquet-Integral-Based Evaluations by Fuzzy Rules: Methods for Developing Fuzzy Rule Tables on the Basis of Weights and Interaction Degrees....Pages 515-524
On a New Class of Implications in Fuzzy Logic....Pages 525-534
Diagrams of Fuzzy Orderings....Pages 535-544
Fuzzy Relation Equations in Semilinear Spaces....Pages 545-552
Adaptive Rule Based-Reasoning by Qualitative Analysis....Pages 553-560
Fuzzy Regions: Adding Subregions and the Impact on Surface and Distance Calculation....Pages 561-570
On Liu’s Inference Rules for Fuzzy Inference Systems....Pages 571-580
A New Approach to the Distances between Intuitionistic Fuzzy Sets....Pages 581-590
Atanassov’s Intuitionistic Contractive Fuzzy Negations....Pages 591-600
Trust Propagation Based on Group Opinion....Pages 601-610
Application of IF-Sets to Modeling of Lip Shapes Similarities....Pages 611-617
A Random Set and Prototype Theory Interpretation of Intuitionistic Fuzzy Sets....Pages 618-628
Hesitation Degrees as the Size of Ignorance Combined with Fuzziness....Pages 629-636
On the Distributivity of Implication Operations over t-Representable t-Norms Generated from Strict t-Norms in Interval-Valued Fuzzy Sets Theory....Pages 637-646
Properties of Interval-Valued Fuzzy Relations, Atanassov’s Operators and Decomposable Operations....Pages 647-655
Cardinality and Entropy for Bifuzzy Sets....Pages 656-665
Some Remarks on the Solutions to the Functional Equation I ( x , y ) = I ( x , I ( x , y )) for D -Operations....Pages 666-675
On an Open Problem of U. Höhle - A Characterization of Conditionally Cancellative T-Subnorms....Pages 676-682
Triangular Norms and Conorms on the Set of Discrete Fuzzy Numbers....Pages 683-692
Arity-Monotonic Extended Aggregation Operators....Pages 693-702
Some Properties of Multi–argument Distances and Fermat Multidistance....Pages 703-711
Mixture Utility in General Insurance....Pages 712-721
Application of Evolutionary Algorithms to the Optimization of the Flame Position in Coal-Fired Utility Steam Generators....Pages 722-730
Measurement of Ground-Neutral Currents in Three Phase Transformers Using a Genetically Evolved Shaping Filter....Pages 731-740
A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets....Pages 741-750
Learning of Fuzzy Rule-Based Meta-schedulers for Grid Computing with Differential Evolution....Pages 751-760
Back Matter....Pages -

The International Conference on Information Processing and Management of - certainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. Since 1986, this conference has been providing a forum for the exchange of ideas between th theoreticians and practitioners working in these areas and related ?elds. The 13 IPMU conference took place in Dortmund, Germany, June 28–July 2, 2010. This volume contains 79 papers selected through a rigorous reviewing process. The contributions re?ect the richness of research on topics within the scope of the conference and represent several important developments, speci?cally focused on theoretical foundations and methods for information processing and management of uncertainty in knowledge-based systems. We were delighted that Melanie Mitchell (Portland State University, USA), Nihkil R. Pal (Indian Statistical Institute), Bernhard Sch ̈ olkopf (Max Planck I- titute for Biological Cybernetics, Tubing ̈ en, Germany) and Wolfgang Wahlster (German Research Center for Arti?cial Intelligence, Saarbruc ̈ ken) accepted our invitations to present keynote lectures. Jim Bezdek received the Kamp ́ede F ́ eriet Award, granted every two years on the occasion of the IPMU conference, in view of his eminent research contributions to the handling of uncertainty in clustering, data analysis and pattern recognition.
Erscheinungsdatum: 25.06.2010

The International Conference on Information Processing and Management of - certainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. Since 1986, this conference has been providing a forum for the exchange of ideas between th theoreticians and practitioners working in these areas and related?elds. The 13 IPMU conference took place in Dortmund, Germany, June 28-July 2, 2010. This volume contains 79 papers selected through a rigorous reviewing process. The contributions re?ect the richness of research on topics within the scope of the conference and represent several important developments, speci?cally focused on theoretical foundations and methods for information processing and management of uncertainty in knowledge-based systems. We were delighted that Melanie Mitchell (Portland State University, USA), Nihkil R. Pal (Indian Statistical Institute), Bernhard Sch· olkopf (Max Planck I- titute for Biological Cybernetics, Tubing · en, Germany) and Wolfgang Wahlster (German Research Center for Arti?cial Intelligence, Saarbruc · ken) accepted our invitations to present keynote lectures. Jim Bezdek received the Kampþede Fþ eriet Award, granted every two years on the occasion of the IPMU conference, in view of his eminent research contributions to the handling of uncertainty in clustering, data analysis and pattern recognition

2013-08-01