Intelligent Systems For Information Processing

From Representation to Applications

By: B. Bouchon-Meunier, L. Foulloy, Ronald R. Yager

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Hardcover | 7 November 2003

At a Glance

Hardcover
488 Pages

Dimensions(cm)
23.39 x 15.6 x 2.69

Hardcover

$355.90

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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

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You Can Find This Book In

Non-Fiction Reference, Information & Interdisciplinary Subjects Research & Information Information theory Computing & I.T.Computer Science Artificial Intelligence Expert Systems & Knowledge-Based Systems Kids & Children's Books Educational Material Technology Educational Material IT & Computing Educational Material

Computer Hardware Maintenance & Repairs Engineering & Technology Technology in General Mathematics Applied Mathematics

Perception-based Information Processing Toward a Perception-Based Theory of Probabilistic Reasoning with Imprecise Probabilities
Representing Knowledge Rough Set Uncertainty in an Object Oriented Data Model
On the Representation of Fuzzy Spatial Relations in Robot Maps
Fuzzy "Between" Operators in the Framework of Fuzzy Orderings
A Step towards Conceptually Improving Takagi-Sugeno's Approximation
Combining Heterogeneous Information in Group Decision Making
Function Approximation by Fuzzy Rough Sets
Retrieving Information Query Aggregation Reflecting Domain-knowledge
Modelling of Fuzzy and Uncertain Spatio-Temporal Information in Databases: A Constraint-based Approach
A General Framework for Meta-search based on Query-weighting and Numerical Aggregation Operators
On the Comparison of Aggregates over Fuzzy Sets
Towards an Intelligent Text Categorization for Web Resources: An Implementation
Reasoning Prototype Based Reasoning and Fuzzy Modeling
Gradual Handling of Contradiction in Argumentation Frameworks
Coherent Conditional Probability as a Tool for Default Reasoning
Detecting Conflict-Free Assumption-Based Knowledge Bases
Uncertainty 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
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
Learning and Mining Clustering of Proximity Data using Belief Functions
A Hierarchical Linguistic Clustering Algorithm for Prototype Induction
A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems
Mining Implication-Based Fuzzy Association Rules in Databases
Learning Graphical Models by Extending Optimal Spanning Trees
Clustering Belief Functions Based on Attracting and Conflicting Metalevel Evidence
Foundations Models and Submodels of Fuzzy Theories
Numerical Representations of Fuzzy Relational Systems
Normal Forms for Fuzzy Relations and Their Contribution to Universal Approximation
Associative Operators Based on t-Norms and t-Conorms
Applications 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
Linguistic Modeling of Physical Task Characteristics
Table of Contents provided by Publisher. All Rights Reserved.

Intelligent Systems For Information Processing

From Representation to Applications

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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