Modeling Decisions for Artificial Intelligence [electronic resource] : 7th International Conference, MDAI 2010, Perpignan, France, October 27-29, 2010. Proceedings / edited by Vicenç Torra, Yasuo Narukawa, Marc Daumas.

Invited Papers -- Relationships between Qualitative and Quantitative Scales for Aggregation Operations: The Example of Sugeno Integrals -- User Privacy in Web Search -- A Bibliometric Index Based on Collaboration Distances -- Regular Papers -- Measuring the Influence of the kth Largest Variable on Functions over the Unit Hypercube -- Measuring the Interactions among Variables of Functions over the Unit Hypercube -- Weighted Quasi-arithmetic Means and Conditional Expectations -- Modelling Group Decision Making Problems in Changeable Conditions -- Individual Opinions-Based Judgment Aggregation Procedures -- Aggregation of Bounded Fuzzy Natural Number-Valued Multisets -- Sugeno Utility Functions I: Axiomatizations -- Sugeno Utility Functions II: Factorizations -- Managing Information Fusion with Formal Concept Analysis -- Indefinite Kernel Fuzzy c-Means Clustering Algorithms -- Algorithms in Sequential Fuzzy Regression Models Based on Least Absolute Deviations -- A Generalized Approach to the Suppressed Fuzzy c-Means Algorithm -- Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints -- Gallbladder Segmentation in 2-D Ultrasound Images Using Deformable Contour Methods -- Pattern Mining on Stars with FP-Growth -- A Computational Intelligence Based Framework for One-Subsequence-Ahead Forecasting of Nonstationary Time Series -- Non-hierarchical Clustering of Decision Tables toward Rough Set-Based Group Decision Aid -- Revisiting Natural Actor-Critics with Value Function Approximation -- A Cost-Continuity Model for Web Search -- An Enhanced Framework of Subjective Logic for Semantic Document Analysis -- Ontology-Based Anonymization of Categorical Values -- Rational Privacy Disclosure in Social Networks -- Towards Semantic Microaggregation of Categorical Data for Confidential Documents -- Using Classification Methods to Evaluate Attribute Disclosure Risk -- A Misleading Attack against Semi-supervised Learning for Intrusion Detection.