Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.
One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications.
• Tools for construction of intelligent systems
• Contributions by world leading experts
• Fundamental issues and applications
• New technologies for web searching
• Methods for modeling uncertain information
• Future directions in web technologies
• Transversal to methods and domains
Academic/corporate libraries, scientists, researchers.
Intelligent Systems for Information Processing: From Representation to Applications, 1st Edition
Perception-based Information Processing
Toward a Perception-Based Theory of Probabilistic Reasoning with
Imprecise Probabilities (L.A. Zadeh).
Rough Set Uncertainty in an Object Oriented Data Model
(T. Beaubouef, F.E. Petry).
On the Representation of Fuzzy Spatial Relations in Robot Maps
(I. Bloch, A. Saffiotti).
Fuzzy "Between" Operators in the Framework of Fuzzy Orderings
A Step towards Conceptually Improving Takagi-Sugeno's Approximation
(S. Guadarrama, E. Trillas, J. Gutiérrez, F. Fernández).
Combining Heterogeneous Information in Group Decision Making
(F. Herrera, E. Herrera-Viedma, L. Martínez, P.J. Sánchez).
Function Approximation by Fuzzy Rough Sets
(M. Inuiguchi, T. Tanino).
Query Aggregation Reflecting Domain-knowledge
Modelling of Fuzzy and Uncertain Spatio-Temporal Information in
Databases: A Constraint-based Approach
(G. de Tré, R. de Caluwe, A. Hallez, J.Verstraete).
A General Framework for Meta-search based on Query-weighting and
Numerical Aggregation Operators
(M. Gómez, C. Abásolo).
On the Comparison of Aggregates over Fuzzy Sets
(P. Bosc, O. Pivert, L. Liétard).
Towards an Intelligent Text Categorization for Web Resources:
(S. Zadrozny, K. Lawcewicz, J. Kacprzyk).
Prototype Based Reasoning and Fuzzy Modeling
Gradual Handling of Contradiction in Argumentation Frameworks
(C. Cayrol, M.C. Lagasquie).
Coherent Conditional Probability as a Tool for Default Reasoning
(G. Coletti, R. Scozzafava, B. Vantaggi).
Detecting Conflict-Free Assumption-Based Knowledge Bases
Theory of Belief Functions: History and Prospects
Towards Another Logical Interpretation of Theory of Evidence and
a New Combination Rule
Uncertainty, Type-2 Fuzzy Sets, and Footprints of Uncertainty
(J. M. Mendel).
Rough Sets, Bayes' Theorem and Flow Graphs
Belief Revision as Combinatorial Optimization
Showing why Measures of Quantified Beliefs are Belief Functions
Extension of Coherent Lower Previsions to Unbounded Random Variables
(M. C.M. Troffaes, G. de Cooman).
Learning and Mining
Clustering of Proximity Data using Belief Functions
(Th. Denoeux, M. Masson).
A Hierarchical Linguistic Clustering Algorithm for Prototype Induction
(L. González Rodríguez, J. Lawry, J.F. Baldwin).
A Multiobjective Genetic Algorithm for Feature Selection and Data Base
Learning in Fuzzy-Rule Based Classification Systems
(O. Cordón, F. Herrera, M.J. del Jesus, L. Magdalena, A.M. Sánchez, P. Villar).
Mining Implication-Based Fuzzy Association Rules in Databases
(E. Hüllermeier, J. Beringer).
Learning Graphical Models by Extending Optimal Spanning Trees
(C. Borgelt, R. Kruse).
Clustering Belief Functions Based on Attracting and Conflicting
Models and Submodels of Fuzzy Theories
Numerical Representations of Fuzzy Relational Systems
Normal Forms for Fuzzy Relations and Their Contribution to Universal
Associative Operators Based on t-Norms and t-Conorms
(M. Mas, R. Mesiar, M. Monserrat, J. Torrens).
Non-Analytical Approaches to Model-Based Fault Detection and Isolation
A Hybrid Fuzzy-Fractal Approach for Time Series Analysis and
Prediction and its Applications to Plant Monitoring
(O. Castillo, P. Melin).
Linguistic Modeling of Physical Task Characteristics
(S. Visa, A. Ralescu, S. Yeung, A. Genaidy).
Validation of Diagnostic Models Using Graphical Belief Networks
(O. Kipersztok, H. Wang).
Adjustment of Parallel Queuing Processes by Multi-Agent Control
(R. Palm, T.A. Runkler).
Is she gonna like it? Automated Inspection System Using Fuzzy Aggregation
(A. Soria-Frisch, M. Köppen, Th. Sy).