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

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Overview

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

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 domain

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Product Details

  • ISBN-13: 9780444513793
  • Publisher: Elsevier Science
  • Publication date: 11/1/2003
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 492
  • Product dimensions: 6.20 (w) x 9.30 (h) x 1.30 (d)

Table of Contents

Preface
Toward a Perception-Based Theory of Probabilistic Reasoning with Imprecise Probabilities 3
Rough Set Uncertainty in an Object Oriented Data Model 37
On the Representation of Fuzzy Spatial Relations in Robot Maps 47
Fuzzy "Between" Operators in the Framework of Fuzzy Orderings 59
A Step towards Conceptually Improving Takagi-Sugeno's Approximation 71
Combining Heterogeneous Information in Group Decision Making 81
Function Approximation by Fuzzy Rough Sets 93
Query Aggregation Reflecting Domain-knowledge 107
Modelling of Fuzzy and Uncertain Spatio-Temporal Information in Databases: A Constraint-based Approach 117
A General Framework for Meta-search based on Query-weighting and Numerical Aggregation Operators 129
On the Comparison of Aggregates over Fuzzy Sets 141
Towards an Intelligent Text Categorization for Web Resources: An Implementation 153
Prototype Based Reasoning and Fuzzy Modeling 167
Gradual Handling of Contradiction in Argumentation Frameworks 179
Coherent Conditional Probability as a Tool for Default Reasoning 191
Detecting Conflict-Free Assumption-Based Knowledge Bases 203
Theory of Belief Functions: History and Prospects 213
Towards Another Logical Interpretation of Theory of Evidence and a New Combination Rule 223
Uncertainty, Type-2 Fuzzy Sets, and Footprints of Uncertainty 233
Rough Sets, Bayes' Theorem and Flow Graphs 243
Belief Revision as Combinatorial Optimization 253
Showing why Measures of Quantified Beliefs are Belief Functions 265
Extension of Coherent Lower Previsions to Unbounded Random Variables 277
Clustering of Proximity Data using Belief Functions 291
A Hierarchical Linguistic Clustering Algorithm for Prototype Induction 303
A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems 315
Mining Implication-Based Fuzzy Association Rules in Databases 327
Learning Graphical Models by Extending Optimal Spanning Trees 339
Clustering Belief Functions Based on Attracting and Conflicting Metalevel Evidence 349
Models and Submodels of Fuzzy Theories 363
Numerical Representations of Fuzzy Relational Systems 375
Normal Forms for Fuzzy Relations and Their Contribution to Universal Approximation 381
Associative Operators Based on t-Norms and t-Conorms 393
Non-Analytical Approaches to Model-Based Fault Detection and Isolation 407
A Hybrid Fuzzy-Fractal Approach for Time Series Analysis and Prediction and Its Applications to Plant Monitoring 419
Linguistic Modeling of Physical Task Characteristics 431
Validation of Diagnostic Models Using Graphical Belief Networks 443
Adjustment of Parallel Queuing Processes by Multi-Agent Control 453
Is she gonna like it? Automated Inspection System Using Fuzzy Aggregation 465
Author Index 477
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