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Intelligent Systems for Information Processing: From Representation to Applications
 
 

Intelligent Systems for Information Processing: From Representation to Applications, 1st Edition

 
Intelligent Systems for Information Processing: From Representation to Applications, 1st Edition,B. Bouchon-Meunier,L. Foulloy,Ronald R. Yager,ISBN9780444513793
 
 
 

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9780444513793

9780080525655

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Description

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.



Key Features:



• 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


Readership

Academic/corporate libraries, scientists, researchers.

B. Bouchon-Meunier

Affiliations and Expertise

CNRS-UPMC, Paris, France

L. Foulloy

Affiliations and Expertise

University of Savoie, Annecy Cédex, France

Ronald R. Yager

Affiliations and Expertise

Iona College, Machine Intelligence Institute, New York, U.S.A.

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).



Representing Knowledge



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
(U. Bodenhofer).
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).



Retrieving Information



Query Aggregation Reflecting Domain-knowledge
(T. Andreasen).
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:
An Implementation
(S. Zadrozny, K. Lawcewicz, J. Kacprzyk).



Reasoning



Prototype Based Reasoning and Fuzzy Modeling
(R.R. Yager).
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
(R. Haenni).



Uncertainty



Theory of Belief Functions: History and Prospects
(A.P. Dempster).
Towards Another Logical Interpretation of Theory of Evidence and
a New Combination Rule
(L. Cholvy).
Uncertainty, Type-2 Fuzzy Sets, and Footprints of Uncertainty
(J. M. Mendel).
Rough Sets, Bayes' Theorem and Flow Graphs
(Z. Pawlak).
Belief Revision as Combinatorial Optimization
(A. Ramer).
Showing why Measures of Quantified Beliefs are Belief Functions
(Ph. Smets).
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
Metalevel Evidence
(J. Schubert).



Foundations



Models and Submodels of Fuzzy Theories
(V. Novák).
Numerical Representations of Fuzzy Relational Systems
(S. Ovchinnikov).
Normal Forms for Fuzzy Relations and Their Contribution to Universal
Approximation
(I. Perfilieva).
Associative Operators Based on t-Norms and t-Conorms
(M. Mas, R. Mesiar, M. Monserrat, J. Torrens).



Applications



Non-Analytical Approaches to Model-Based Fault Detection and Isolation
(P.M. Frank).
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).



Author Index

 
 
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