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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hüllermeier, Eyke (Επιμελητής έκδοσης), Kruse, Rudolf (Επιμελητής έκδοσης), Hoffmann, Frank (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
• Σειρά: Communications in Computer and Information Science, 80
• Θέματα: Computer science.; Computer programming.; Programming languages (Electronic computers).; Computers.; Database management.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Programming Techniques.; Programming Languages, Compilers, Interpreters.; Database Management.; Information Systems Applications (incl. Internet).; Computation by Abstract Devices.

 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. 

 Reasoning with Uncertainty -- An Algorithm to Find a Perfect Map for Graphoid Structures -- An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network -- Possibilistic Graphical Models and Compositional Models -- Bayesian Networks vs. Evidential Networks: An Application to Convoy Detection -- Approximation of Data by Decomposable Belief Models -- A Gambler’s Gain Prospects with Coherent Imprecise Previsions -- Infinite Exchangeability for Sets of Desirable Gambles -- Ergodicity Conditions for Upper Transition Operators -- An Empirical Comparison of Bayesian and Credal Set Theory for Discrete State Estimation -- On the Complexity of Non-reversible Betting Games on Many-Valued Events -- Sequential Decision Processes under Act-State Independence with Arbitrary Choice Functions -- Similarity-Based Equality with Lazy Evaluation -- Progressive Reasoning for Complex Dialogues among Agents -- Measuring Instability in Normal Residuated Logic Programs: Discarding Information -- Implementing Prioritized Merging with ASP -- An Interactive Algorithm to Deal with Inconsistencies in the Representation of Cardinal Information -- Characterization of Complete Fuzzy Preorders Defined by Archimedean t-Norms -- Rectification of Preferences in a Fuzzy Environment -- Data Analysis and Knowledge Processing -- Identification of Speakers by Name Using Belief Functions -- Constructing Multiple Frames of Discernment for Multiple Subproblems -- Conflict Interpretation in a Belief Interval Based Framework -- Evidential Data Association Filter -- Maintaining Evidential Frequent Itemsets in Case of Data Deletion -- TS-Models from Evidential Clustering -- Measuring Impact of Diversity of Classifiers on the Accuracy of Evidential Ensemble Classifiers -- Multiplication of Multinomial Subjective Opinions -- Evaluation of Information Reported: A Model in the Theory of Evidence -- Gradual Evaluation of Granules of a Fuzzy Relation: R-related Sets -- Combined Bayesian Networks and Rough-Granular Approaches for Discovery of Process Models Based on Vehicular Traffic Simulation -- On Scalability of Rough Set Methods -- Interestingness Measures for Association Rules within Groups -- Data Mining in RL-Bags -- Feature Subset Selection for Fuzzy Classification Methods -- Restricting the IDM for Classification -- Estimation of Possibility-Probability Distributions -- Bayesian Assaying of GUHA Nuggets -- Rank Correlation Coefficient Correction by Removing Worst Cases -- Probabilistic Relational Learning for Medical Diagnosis Based on Ion Mobility Spectrometry -- Automated Gaussian Smoothing and Peak Detection Based on Repeated Averaging and Properties of a Spectrum’s Curvature -- Uncertainty Interval Expression of Measurement: Possibility Maximum Specificity versus Probability Maximum Entropy Principles -- Lazy Induction of Descriptions Using Two Fuzzy Versions of the Rand Index -- Fuzzy Clustering-Based Filter -- Fuzzy Classification of Nonconvex Data-Inherent Structures -- Fuzzy-Pattern-Classifier Training with Small Data Sets -- Temporal Linguistic Summaries of Time Series Using Fuzzy Logic -- A Comparison of Five Fuzzy Rand Indices -- Identifying the Risk of Attribute Disclosure by Mining Fuzzy Rules -- Fuzzy Sets and Fuzzy Logic -- Explicit Descriptions of Associative Sugeno Integrals -- Continuity of Choquet Integrals of Supermodular Capacities -- Inclusion-Exclusion Integral and Its Application to Subjective Video Quality Estimation -- Fuzzy Measure Spaces Generated by Fuzzy Sets -- Absolute Continuity of Monotone Measure and Convergence in Measure -- An Axiomatic Approach to Fuzzy Measures Like Set Cardinality for Finite Fuzzy Sets -- Choquet-Integral-Based Evaluations by Fuzzy Rules: Methods for Developing Fuzzy Rule Tables on the Basis of Weights and Interaction Degrees -- On a New Class of Implications in Fuzzy Logic -- Diagrams of Fuzzy Orderings -- Fuzzy Relation Equations in Semilinear Spaces -- Adaptive Rule Based-Reasoning by Qualitative Analysis -- Fuzzy Regions: Adding Subregions and the Impact on Surface and Distance Calculation -- On Liu’s Inference Rules for Fuzzy Inference Systems -- A New Approach to the Distances between Intuitionistic Fuzzy Sets -- Atanassov’s Intuitionistic Contractive Fuzzy Negations -- Trust Propagation Based on Group Opinion -- Application of IF-Sets to Modeling of Lip Shapes Similarities -- A Random Set and Prototype Theory Interpretation of Intuitionistic Fuzzy Sets -- Hesitation Degrees as the Size of Ignorance Combined with Fuzziness -- On the Distributivity of Implication Operations over t-Representable t-Norms Generated from Strict t-Norms in Interval-Valued Fuzzy Sets Theory -- Properties of Interval-Valued Fuzzy Relations, Atanassov’s Operators and Decomposable Operations -- Cardinality and Entropy for Bifuzzy Sets -- Some Remarks on the Solutions to the Functional Equation I(x,y)?=?I(x,I(x,y)) for D-Operations -- On an Open Problem of U. Höhle - A Characterization of Conditionally Cancellative T-Subnorms -- Triangular Norms and Conorms on the Set of Discrete Fuzzy Numbers -- Arity-Monotonic Extended Aggregation Operators -- Some Properties of Multi–argument Distances and Fermat Multidistance -- Mixture Utility in General Insurance -- Application of Evolutionary Algorithms to the Optimization of the Flame Position in Coal-Fired Utility Steam Generators -- Measurement of Ground-Neutral Currents in Three Phase Transformers Using a Genetically Evolved Shaping Filter -- A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets -- Learning of Fuzzy Rule-Based Meta-schedulers for Grid Computing with Differential Evolution.