## Uncertainty in Intelligent and Information SystemsThis 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 |

### Other editions - View all

Uncertainty in Intelligent and Information Systems B Bouchon-Meunier,R R Yager,L A Zadeh Limited preview - 2000 |

### Common terms and phrases

aggregation application approach Artificial Intelligence associated attribute audit risk behavior identification C.M. criteria causal classification clustering computed consider constraints criterion decision trees defined denoted descriptors domains dynamical systems equation evaluation evolutionary algorithms example expert system FCSP Figure fitness score fractal dimension fuzzy controller fuzzy decision trees fuzzy logic fuzzy logic systems fuzzy numbers fuzzy rules fuzzy sets genetic algorithm IEEE inductive input interval-valued Iris Virginica isv(n Kohonen lexi-vectors leximin linguistic variable Lyapunov exponents machine learning measure membership function method Neural Networks node obtained operators optimal output parameters Poss(x possibilistic possibility distribution principal curves probabilistic probability assessment problem proposed pruning reasoning relevance feedback relevant documents representation robot satisfied scalar cardinality selection Self-Organizing Map server simulation solution statements structure subset t-norm techniques Theorem theory totally coherent training set transformation triangular values vector Ver(x veristic veristic variables Zadeh

### References to this book

Multi-objective Group Decision Making: Methods, Software and Applications ... Jie Lu No preview available - 2007 |