Information Processing and Management of Uncertainty

1. Front Matter

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2. Similarity Analysis

   1. Robust Selection of Domain-Specific Semantic Similarity Measures from Uncertain Expertise

      • Stefan Janaqi, Sébastien Harispe, Sylvie Ranwez, Jacky Montmain

      Pages 1-10

   2. Coping with Imprecision During a Semi-automatic Conceptual Indexing Process

      • Nicolas Fiorini, Sylvie Ranwez, Jacky Montmain, Vincent Ranwez

      Pages 11-20

   3. A Fuzzy R Code Similarity Detection Algorithm

      • Maciej Bartoszuk, Marek Gagolewski

      Pages 21-30

3. Fuzzy Logic, Formal Concept Analysis and Rough Set

   1. L-Fuzzy Context Sequences on Complete Lattices

      • Cristina Alcalde, Ana Burusco

      Pages 31-40

   2. Variable-Range Approximate Systems Induced by Many-Valued L-Relations

      • Aleksandrs Eļkins, Sang-Eon Han, Alexander Šostak

      Pages 41-50

   3. Introducing Similarity Relations in a Framework for Modelling Real-World Fuzzy Knowledge

      • Víctor Pablos-Ceruelo, Susana Muñoz-Hernández

      Pages 51-60

   4. An Approach Based on Rough Sets to Possibilistic Information

      • Michinori Nakata, Hiroshi Sakai

      Pages 61-70

   5. Antitone L-bonds

      • Jan Konecny

      Pages 71-80

   6. Minimal Solutions of Fuzzy Relation Equations with General Operators on the Unit Interval

      • Jesús Medina, Esko Turunen, Eduard Bartl, Juan Carlos Díaz-Moreno

      Pages 81-90

   7. Generating Isotone Galois Connections on an Unstructured Codomain

      • Francisca García-Pardo, Inma P. Cabrera, Pablo Cordero, Manuel Ojeda-Aciego, Francisco J. Rodríguez

      Pages 91-99

4. Intelligent Databases and Information Systems

   1. Fuzzy Core DBScan Clustering Algorithm

      • Gloria Bordogna, Dino Ienco

      Pages 100-109

   2. Estimating Null Values in Relational Databases Using Analogical Proportions

      • William Correa Beltran, Hélène Jaudoin, Olivier Pivert

      Pages 110-119

   3. Exception-Tolerant Skyline Queries

      • Hélène Jaudoin, Olivier Pivert, Daniel Rocacher

      Pages 120-129

   4. Towards a Gradual QCL Model for Database Querying

      • Ludovic Liétard, Allel Hadjali, Daniel Rocacher

      Pages 130-139

   5. A Vocabulary Revision Method Based on Modality Splitting

      • Grégory Smits, Olivier Pivert, Marie-Jeanne Lesot

      Pages 140-149

   6. Dealing with Aggregate Queries in an Uncertain Database Model Based on Possibilistic Certainty

      • Olivier Pivert, Henri Prade

      Pages 150-159

   7. Bipolar Comparison of 3D Ear Models

      • Guy De Tré, Dirk Vandermeulen, Jeroen Hermans, Peter Claeys, Joachim Nielandt, Antoon Bronselaer

      Pages 160-169

5. Theory of Evidence

   1. A Logical Version of the Belief Function Theory

      • Laurence Cholvy

      Pages 170-179

   2. Evidential-EM Algorithm Applied to Progressively Censored Observations

      • Kuang Zhou, Arnaud Martin, Quan Pan

      Pages 180-189

These three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; data analysis; real-world applications; aggregation; probabilistic networks; recommendation systems and social networks; fuzzy systems; fuzzy logic in boolean framework; management of uncertainty in social networks; from different to same, from imitation to analogy; soft computing and sensory analysis; database systems; fuzzy set theory; measurement and sensory information; aggregation; formal methods for vagueness and uncertainty in a many-valued realm; graduality; preferences; uncertainty management in machine learning; philosophy and history of soft computing; soft computing and sensory analysis; similarity analysis; fuzzy logic, formal concept analysis and rough set; intelligent databases and information systems; theory of evidence; aggregation functions; big data - the role of fuzzy methods; imprecise probabilities: from foundations to applications; multinomial logistic regression on Markov chains for crop rotation modelling; intelligent measurement and control for nonlinear systems.

• aggregation functions
• artificial intelligence
• big data
• cyber-physical systems
• data management systems
• data mining
• decision support systems
• decision trees
• formal concept analysis
• formal methods
• fuzzy sets
• information retrieval
• information systems
• information systems applications
• intelligent databases
• knowledge management
• knowledge representation and reasoning
• linked open data
• machine learning
• nonlinear systems
• ontologies
• preferences
• probabilistic reasoning
• probability and statistics
• query processing
• reasoning about belief and knowledge
• recommender systems
• retrieval models and ranking
• rough sets
• semantic web
• sensor analysis
• sensors and actuators
• similarity measures
• social computing
• social networks
• soft computing
• theory of evidence
• uncertainty management
• vagueness and fuzzy logic

• University Montpellier 2, LIRMM - CNRS UMR 5506, Montpellier Cedex 5, France

  Anne Laurent

• Institute for Human Factors and Technology Management, IAT, University of Stuttgart, Stuttgart, Germany

  Oliver Strauss

• LIP6, UPMC Univ. Paris 06, CNRS UMR 7606, Paris, France

  Bernadette Bouchon-Meunier

• Dept. of Information Systems, Iona College, New Rochelle, USA

  Ronald R. Yager

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