Information Processing and Management of Uncertainty in Knowledge-Based Systems: Part II Information Processing and Management of Uncertainty in Knowl

Information Processing and Management of Uncertainty in Knowledge-Based Systems: Part II Information Processing and Management of Uncertainty in Knowl

By: Rudolf Kruse (editor), Eyke Hullermeier (editor), Frank Hoffmann (editor)Paperback

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TheInternationalConferenceonInformationProcessingandManagementof- certaintyinKnowledge-BasedSystems,IPMU,isorganizedeverytwoyearswith the aim of bringing together scientists working on methods for the management of uncertainty and aggregationof information in intelligent systems. Since 1986, this conference has been providing a forum for the exchange of ideas between th theoreticiansandpractitionersworkingintheseareasandrelated?elds. The13 IPMU conference took place in Dortmund, Germany, June 28-July 2, 2010. This volume contains 77 papers selected through a rigorous reviewing p- cess. The contributions re?ectthe richness ofresearchontopics within the scope of the conference and represent several important developments, speci?cally - cused on applications of methods for information processing and management of uncertainty in knowledge-based systems. We were delighted that Melanie Mitchell (Portland State University, USA), NihkilR. Pal(IndianStatisticalInstitute),BernhardSch. olkopf(MaxPlanckI- titute for Biological Cybernetics, Tubing .. en, Germany) and Wolfgang Wahlster (German Research Center for Arti?cial Intelligence, Saarbruc .. ken) accepted our invitationstopresentkeynotelectures. JimBezdekreceivedtheKamp'edeF' eriet Award,grantedeverytwo yearsonthe occasionofthe IPMUconference,in view ofhiseminentresearchcontributionstothehandlingofuncertaintyinclustering, data analysis and pattern recognition. Organizing a conference like this one is not possible without the assistance and continuous support of many people and institutions. We are particularly grateful to the organizers of sessions on dedicated topics that took place during the conference-these 'special sessions' have always been a characteristic e- ment of the IPMU conference. Frank Klawonn and Thomas Runkler helped a lottoevaluateandselectspecialsessionproposals. Thespecialsessionorganizers themselves renderedimportant assistancein the reviewingprocess,that was f- thermore supported by the Area Chairs and regular members of the Programme Committee. ThomasFober wasthe backboneon severalorganizationaland el- tronic issues, and also helped with the preparation of the proceedings.


Data Analysis Applications.- Data-Driven Design of Takagi-Sugeno Fuzzy Systems for Predicting NOx Emissions.- Coping with Uncertainty in Temporal Gene Expressions Using Symbolic Representations.- Olive Trees Detection in Very High Resolution Images.- A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects in Video Streams under Uncertainties.- Soft Concept Hierarchies to Summarise Data Streams and Highlight Anomalous Changes.- Using Enriched Ontology Structure for Improving Statistical Models of Gene Annotation Sets.- Predicting Outcomes of Septic Shock Patients Using Feature Selection Based on Soft Computing Techniques.- Obtaining the Compatibility between Musicians Using Soft Computing.- Consistently Handling Geographical User Data.- Intelligent Databases.- A Model Based on Outranking for Database Preference Queries.- Incremental Membership Function Updates.- A New Approach for Comparing Fuzzy Objects.- Generalized Fuzzy Comparators for Complex Data in a Fuzzy Object-Relational Database Management System.- The Bipolar Semantics of Querying Null Values in Regular and Fuzzy Databases.- Describing Fuzzy DB Schemas as Ontologies: A System Architecture View.- Using Textual Dimensions in Data Warehousing Processes.- Information Fusion.- Uncertainty Estimation in the Fusion of Text-Based Information for Situation Awareness.- Aggregation of Partly Inconsistent Preference Information.- Risk Neutral Valuations Based on Partial Probabilistic Information.- A New Contextual Discounting Rule for Lower Probabilities.- The Power Average Operator for Information Fusion.- Performance Comparison of Fusion Operators in Bimodal Remote Sensing Snow Detection.- Color Recognition Enhancement by Fuzzy Merging.- Towards a New Generation of Indicators for Consensus Reaching Support Using Type-2 Fuzzy Sets.- Decision Support.- Multiagent Decision Making, Fuzzy Prevision, and Consensus.- A Categorical Approach to the Extension of Social Choice Functions.- Signatures for Assessment, Diagnosis and Decision-Making in Ageing.- A Default Risk Model in a Fuzzy Framework.- On a Fuzzy Weights Representation for Inner Dependence AHP.- Different Models with Fuzzy Random Variables in Single-Stage Decision Problems.- A Neuro-Fuzzy Decision Support System for Selection of Small Scale Business.- Bond Management: An Application to the European Market.- Estimating the Brazilian Central Bank's Reaction Function by Fuzzy Inference System.- Fuzzy Systems.- Do Uncertainty and Fuzziness Present Themselves (and Behave) in the Same Way in Hard and Human Sciences?.- Some Notes on the Value of Vagueness in Everyday Communication.- On Zadeh's "The Birth and Evolution of Fuzzy Logic".- Complexity and Fuzziness in 20th Century Science and Technology.- Educational Software of Fuzzy Logic and Control.- A Fuzzy Distance between Two Fuzzy Numbers.- On the Jaccard Index with Degree of Optimism in Ranking Fuzzy Numbers.- Negation Functions in the Set of Discrete Fuzzy Numbers.- Trapezoidal Approximation of Fuzzy Numbers Based on Sample Data.- Multiple Products and Implications in Interval-Valued Fuzzy Set Theory.- Fuzzy Ontology and Information Granulation: An Approach to Knowledge Mobilisation.- Adjoint Pairs on Interval-Valued Fuzzy Sets.- Optimistic Arithmetic Operators for Fuzzy and Gradual Intervals - Part I: Interval Approach.- Optimistic Arithmetic Operators for Fuzzy and Gradual Intervals - Part II: Fuzzy and Gradual Interval Approach.- Model Assessment Using Inverse Fuzzy Arithmetic.- New Tools in Fuzzy Arithmetic with Fuzzy Numbers.- Application of Gaussian Quadratures in Solving Fuzzy Fredholm Integral Equations.- Existence and Uniqueness of Solutions of Fuzzy Volterra Integro-differential Equations.- Expansion Method for Solving Fuzzy Fredholm-Volterra Integral Equations.- Solving Fuzzy Heat Equation by Fuzzy Laplace Transforms.- A New Approach for Solving First Order Fuzzy Differential Equation.- Soft Computing Applications.- A Comparison Study of Different Color Spaces in Clustering Based Image Segmentation.- Retrieving Texture Images Using Coarseness Fuzzy Partitions.- A Fuzzy Regional-Based Approach for Detecting Cerebrospinal Fluid Regions in Presence of Multiple Sclerosis Lesions.- Probabilistic Scene Models for Image Interpretation.- Motion Segmentation Algorithm for Dynamic Scenes over H.264 Video.- Using Stereo Vision and Fuzzy Systems for Detecting and Tracking People.- Group Anonymity.- Anonymizing Categorical Data with a Recoding Method Based on Semantic Similarity.- Addressing Complexity in a Privacy Expert System.- Privacy-Protected Camera for the Sensing Web.- Bayesian Network-Based Approaches for Severe Attack Prediction and Handling IDSs' Reliability.- Structuring and Presenting the Distributed Sensory Information in the Sensing Web.- Evaluation of Privacy Protection Techniques for Speech Signals.- Digital Diorama: Sensing-Based Real-World Visualization.- Personalizing Public and Privacy-Free Sensing Information with a Personal Digital Assistant.- The Open Data Format and Query System of the Sensing Web.- See-Through Vision: A Visual Augmentation Method for Sensing-Web.- Manufacturing Virtual Sensors at Caterpillar, Inc..- Modelling Low-Carbon UK Energy System Design through 2050 in a Collaboration of Industry and the Public Sector.- A Remark on Adaptive Scheduling of Optimization Algorithms.- An Adaptive Fuzzy Model Predictive Control System for the Textile Fiber Industry.- Methodology for Evaluation of Linked Multidimensional Measurement System with Balanced Scorecard.- Predictive Probabilistic and Possibilistic Models Used for Risk Assessment of SLAs in Grid Computing.

Product Details

  • ISBN13: 9783642140570
  • Format: Paperback
  • Number Of Pages: 762
  • ID: 9783642140570
  • ISBN10: 3642140572
  • edition: 2010 ed.

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