Intelligent Systems for Information Processing: From Representation to Applications

1st Edition

Authors: B. Bouchon-Meunier L. Foulloy Ronald R. Yager
Hardcover ISBN: 9780444513793
eBook ISBN: 9780080525655
Imprint: JAI Press
Published Date: 1st September 2003
Page Count: 488
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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.

Table of Contents

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. Lagas

Details

No. of pages:
488
Language:
English
Copyright:
© JAI Press 2003
Published:
Imprint:
JAI Press
eBook ISBN:
9780080525655
Hardcover ISBN:
9780444513793

About the Author

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.

Reviews

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