Uncertainty in Intelligent and Information Systems

Front Cover
This book is a collection of articles on the technologies needed for the construction of intelligent and information systems, and particularly on the role of uncertainty. The articles, written by some of the world's leading experts, cover the management of uncertainty and the modeling of intelligent and information systems. Issues related to optimization and learning in the face of uncertainty are discussed. Some of the articles describe applications to data fusion, document retrieval, risk management and nuclear plant control. Applications to the automation of human sensory skills are also presented. Techniques drawn from the disciplines of fuzzy logic, neural networks, genetic algorithms and other constituents of soft computing are used throughout the book.
 

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very very great work...
thank you to prof. Zadeh !!! <3

Contents

Data Mining by the SelfOrganizing Map Method
3
T Kohonen Finland
11
Toward a Theory of Fuzzy Veristic Variables
23
A Generalizing Look at Sigma Counts of Fuzzy Sets
34
A Qualitative Approach for Processing Uncertainty
46
A Simple Possibilistic Modelisation of Measurement Uncertainty
58
Analogy as a Basis of Various Forms of Approximate Reasoning
70
Extension of Totally Coherent IntervalValued Probability Assessments
80
Hierarchical Fuzzy Logic Control
119
A Machine Learning Technique for Helping the Knowledge
133
Use of Attribute Selection Criteria in Decision Trees in Uncertain Domains
150
Using Maximum Entropy to Estimate Missing Information in TreeLike
174
Neural Relevance Feedback for Information Retrieval
197
Applications
212
Fuzzy Decision Trees to Extract Features of Odorous Molecules
235
Dcoument Retrieval from Multiple Sources of Information
250

Modelling Simulation and Behavior Identification of NonLinear
95
Supervisory Fuzzy Controller
107
An Imperfect Knowledge Based Model
274
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