Documents disponibles dans la collection

Technologies for constructing intelligent systems 2 / Bernadette Bouchon-Meunier ; Luis Magdalena

Public ISBD Titre : Technologies for constructing intelligent systems 2 : tools Type de document : texte imprimé Auteurs : Bernadette Bouchon-Meunier, Editeur scientifique ; Luis Magdalena, Editeur scientifique Editeur : Berlin : Springer Année de publication : 2002 Collection : Studies in Fuzziness and Soft Computing Importance : 429 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-3-7908-1455-2 Note générale : Bibliogr. en fin de chapitres Langues : Français (fre) Mots-clés : Ordinateur  --  Conception Fuzzy  sets Constructing  --  Technologies Index. décimale : 681.3 Appareils et matériel de traitement de données. Informatique Résumé : Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed. Note de contenu : Sommaire: 1. Fundamental Issues in Uncertainty 2. Aggregation Methods 3. Fuzzy Sets 4. Network Based Technologies 5. Logic and Logic Based Systems Technologies for constructing intelligent systems 2 : tools [texte imprimé] / Bernadette Bouchon-Meunier, Editeur scientifique ; Luis Magdalena, Editeur scientifique . - Springer, 2002 . - 429 p. : ill. ; 24 cm. - (Studies in Fuzziness and Soft Computing) . ISBN : 978-3-7908-1455-2 Bibliogr. en fin de chapitres Langues : Français (fre) Mots-clés : Ordinateur  --  Conception Fuzzy  sets Constructing  --  Technologies Index. décimale : 681.3 Appareils et matériel de traitement de données. Informatique Résumé : Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed. Note de contenu : Sommaire: 1. Fundamental Issues in Uncertainty 2. Aggregation Methods 3. Fuzzy Sets 4. Network Based Technologies 5. Logic and Logic Based Systems

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
048067	681.3 TEC	Papier	Bibliothèque Centrale	Informatique	Disponible

Technologies for constructing intelligent systems 1 / Bernadette Bouchon-Meunier ; Luis Magdalena

Public ISBD Titre : Technologies for constructing intelligent systems 1 : tasks Type de document : texte imprimé Auteurs : Bernadette Bouchon-Meunier, Editeur scientifique ; Luis Magdalena, Editeur scientifique Editeur : Berlin : Springer Année de publication : 2002 Collection : Studies in Fuzziness and Soft Computing Importance : 404 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-3-7908-1454-5 Note générale : Bibliogr. en fin de chapitres Langues : Français (fre) Mots-clés : Ordinateur  --  Conception Learning Constructing  --  Technologies Index. décimale : 681.3 Appareils et matériel de traitement de données. Informatique Résumé : Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book deals with the theory behind the solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methodologies for these cases are discussed, among which are probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks. One purpose of the book is to consider how these methods can be used cooperatively. Topics included in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, bayesian networks and other network methods, as well as logic-based systems Note de contenu : Sommaire: 1. Computing with Words 2. Decision and Preferences 3. Learning, Classification and Clustering 4. Retrieval of Information Technologies for constructing intelligent systems 1 : tasks [texte imprimé] / Bernadette Bouchon-Meunier, Editeur scientifique ; Luis Magdalena, Editeur scientifique . - Springer, 2002 . - 404 p. : ill. ; 24 cm. - (Studies in Fuzziness and Soft Computing) . ISBN : 978-3-7908-1454-5 Bibliogr. en fin de chapitres Langues : Français (fre) Mots-clés : Ordinateur  --  Conception Learning Constructing  --  Technologies Index. décimale : 681.3 Appareils et matériel de traitement de données. Informatique Résumé : Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book deals with the theory behind the solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methodologies for these cases are discussed, among which are probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks. One purpose of the book is to consider how these methods can be used cooperatively. Topics included in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, bayesian networks and other network methods, as well as logic-based systems Note de contenu : Sommaire: 1. Computing with Words 2. Decision and Preferences 3. Learning, Classification and Clustering 4. Retrieval of Information

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
048066	681.3 TEC	Papier	Bibliothèque Centrale	Informatique	Disponible

Statistical modeling analysis and management of fuzzy data / Bertoluzza , Carlo ; Gil , Maria ; Dan A. Ralescu

Public ISBD Titre : Statistical modeling analysis and management of fuzzy data Type de document : texte imprimé Auteurs : Bertoluzza , Carlo, Editeur scientifique ; Gil , Maria, Editeur scientifique ; Dan A. Ralescu, Editeur scientifique Editeur : Berlin : Springer Année de publication : 2002 Collection : Studies in Fuzziness and Soft Computing Importance : XIV-309 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-3-7908-1440-8 Note générale : Bibliogr. Index Langues : Anglais (eng) Mots-clés : Automatique  Analyse  Gestion  Modelantes  Statistiques  Données Index. décimale : 681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique Résumé : The contributions in this book connect Probability Theory/Statistics and Fuzzy Set Theory in different ways. Some of these connections are either philosophical or theoretical in nature, but most of them state models and methods to work with fuzzy data (or fuzzy perception) when dealing with random experiments. In this way, several probabilistic studies are developed, as well as techniques and criteria to get descriptive and inferential statistical conclusions from fuzzy data. On the other hand, some studies have been devoted to fuzzy measures and their relationship with measures in Probability Theory. Note de contenu : Contents *Fuzziness and randomness *Possibility, probability and fuzzy measures *Statistics and fuzzy data analysis Statistical modeling analysis and management of fuzzy data [texte imprimé] / Bertoluzza , Carlo, Editeur scientifique ; Gil , Maria, Editeur scientifique ; Dan A. Ralescu, Editeur scientifique . - Springer, 2002 . - XIV-309 p. : ill. ; 25 cm. - (Studies in Fuzziness and Soft Computing) . ISBN : 978-3-7908-1440-8 Bibliogr. Index Langues : Anglais (eng) Mots-clés : Automatique  Analyse  Gestion  Modelantes  Statistiques  Données Index. décimale : 681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique Résumé : The contributions in this book connect Probability Theory/Statistics and Fuzzy Set Theory in different ways. Some of these connections are either philosophical or theoretical in nature, but most of them state models and methods to work with fuzzy data (or fuzzy perception) when dealing with random experiments. In this way, several probabilistic studies are developed, as well as techniques and criteria to get descriptive and inferential statistical conclusions from fuzzy data. On the other hand, some studies have been devoted to fuzzy measures and their relationship with measures in Probability Theory. Note de contenu : Contents *Fuzziness and randomness *Possibility, probability and fuzzy measures *Statistics and fuzzy data analysis

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
047538	681.51 BER	Papier	Bibliothèque Centrale	Automatique	Disponible

Complexity management in fuzzy systems / Gegov, Alexander

Public ISBD Titre : Complexity management in fuzzy systems : A rule base compression approach Type de document : document électronique Auteurs : Gegov, Alexander, Auteur Editeur : Berlin : Springer Année de publication : 2007 Collection : Studies in Fuzziness and Soft Computing ISBN/ISSN/EAN : 978-3-540-38883-8 Langues : Anglais (eng) Mots-clés : Complex  fuzzy  systems  -  Fuzzy  rule  aggregation  -  Fuzzy  rule  base  compression  -  Fuzzy  rule  base  reduction  -  Fuzzy  rule  filtration Résumé : This electronic document presents a systematic study on the inherent complexity in fuzzy systems, resulting from the large number and the poor transparency of the fuzzy rules. The study uses a novel approach for complexity management, aimed at compressing the fuzzy rule base by removing the redundancy while preserving the solution. The compression is based on formal methods for presentation, manipulation, transformation and simplification of fuzzy rule bases, which are illustrated by algorithms as well as results from numerous examples and two case studies. The results are directly applicable or easily extendable to a wide class of fuzzy systems and detailed benchmarks for expanding these systems to new areas such as fuzzy networks and fuzzy multi-agent systems are introduced. The intended readers are people from both academia and industry, who would be interested in building and implementing advanced fuzzy systems. Note de contenu : Basic Types of Fuzzy Rule Based Systems.- Rule Base Reduction Methods for Fuzzy Systems.- Formal Presentation of Fuzzy Rule Based Systems.- Formal Manipulation of Fuzzy Rule Based Systems.- Formal Manipulation with Special Rule Bases.- Formal Transformation of Fuzzy Rule Based Systems.- Formal Transformation of Feedback Rule Bases.- Formal Simplification of Fuzzy Rule Based Systems. Complexity management in fuzzy systems : A rule base compression approach [document électronique] / Gegov, Alexander, Auteur . - Springer, 2007. - (Studies in Fuzziness and Soft Computing) . ISBN : 978-3-540-38883-8 Langues : Anglais (eng) Mots-clés : Complex  fuzzy  systems  -  Fuzzy  rule  aggregation  -  Fuzzy  rule  base  compression  -  Fuzzy  rule  base  reduction  -  Fuzzy  rule  filtration Résumé : This electronic document presents a systematic study on the inherent complexity in fuzzy systems, resulting from the large number and the poor transparency of the fuzzy rules. The study uses a novel approach for complexity management, aimed at compressing the fuzzy rule base by removing the redundancy while preserving the solution. The compression is based on formal methods for presentation, manipulation, transformation and simplification of fuzzy rule bases, which are illustrated by algorithms as well as results from numerous examples and two case studies. The results are directly applicable or easily extendable to a wide class of fuzzy systems and detailed benchmarks for expanding these systems to new areas such as fuzzy networks and fuzzy multi-agent systems are introduced. The intended readers are people from both academia and industry, who would be interested in building and implementing advanced fuzzy systems. Note de contenu : Basic Types of Fuzzy Rule Based Systems.- Rule Base Reduction Methods for Fuzzy Systems.- Formal Presentation of Fuzzy Rule Based Systems.- Formal Manipulation of Fuzzy Rule Based Systems.- Formal Manipulation with Special Rule Bases.- Formal Transformation of Fuzzy Rule Based Systems.- Formal Transformation of Feedback Rule Bases.- Formal Simplification of Fuzzy Rule Based Systems.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
E00181	681.51 GEG	Ressources électroniques	Bibliothèque Centrale	Automatique	Disponible
E00182	681.51 GEG	Ressources électroniques	Bibliothèque Centrale	Automatique	Disponible

Integration of fuzzy logic and chaos theory / Li, Zhong 

Public ISBD Titre : Integration of fuzzy logic and chaos theory Type de document : texte imprimé Auteurs : Li, Zhong, Auteur ; Halang, Wolfgang A., Auteur ; Guanrong Chen, Auteur Editeur : Berlin : Springer Année de publication : 2006 Collection : Studies in Fuzziness and Soft Computing ISBN/ISSN/EAN : 978-3-540-26899-4 Langues : Anglais (eng) Mots-clés : Chaos  Theory  -  Fuzzy  Logic Index. décimale : 681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique Résumé : This book attempts to present some current research progress and results on the interplay of fuzzy logic and chaos theory. More specifically, this book includes a collections of some state-of-the-art surveys, tutorials, and application examples written by some experts working in the interdisciplinary fields overlapping fuzzy logic and chaos theory. The content of the book covers fuzzy definition of chaos, fuzzy modeling and control of chaotic systems using both Mamdani and Takagi-Sugeno models, fuzzy model identification using genetic algorithms and neural network schemes, bifurcation phenomena and self-referencing in fuzzy systems, complex fuzzy systems and their collective behaviours, as well as some applications of combining fuzzy logic and chaotic dynamics, such as fuzzy-chaos hybrid controllers for nonlinear dynamic systems, and fuzzy-model-based chaotic cryptosystems. This book can serve as a handy reference for researchers working in the interdisciplines related, among others, to both fuzzy logic and chaos theory. Note de contenu : Beyond the Li-Yorke definition of chaos.- Chaotic dynamics with fuzzy systems.- Fuzzy modeling and control of chaotic systems.- Fuzzy model identification using a hybrid mGA scheme with application to chaotic system modeling.- Fuzzy control of chaos.- Chaos control using fuzzy controllers.- Digital fuzzy set-point regulated chaotic systems: An intelligent digital redesign approach.- Anti-control of chaos for Takagi-Sugeno fuzzy systems.- Fuzzy chaos synchronization via sampled driving signals.- Bifurcation phenomena in elementary Takagi-Sugeno fuzzy systems.- Self-reference, chaos, and fuzzy logic.- Chaotic behaviour in recurrent Takagi-Sugeno models.- A theory of fuzzy chaos for simulation and control of nonlinear systems.- Complex fuzzy systems and their collective behaviour.- Real-time identification and forecasting of chaotic time series using hybrid systems of computational intelligence.- Fuzzy-chaos hybrid controllers for nonlinear dynamic systems.- Fuzzy model-based chaotic cryptosystems.- Evolution of complexity.- Problem solving via fuzziness-based coding of continuous constraints yielding synergetic and chaos-dependent origination structures.- Some applications of fuzzy dynamic models with chaotic properties. ISBN 13 : 978-3540268994 En ligne : http://www.springerlink.com/content/978-3-540-26899-4/#section=482837&page=1 Format de la ressource électronique : ftp. Integration of fuzzy logic and chaos theory [texte imprimé] / Li, Zhong, Auteur ; Halang, Wolfgang A., Auteur ; Guanrong Chen, Auteur . - Springer, 2006. - (Studies in Fuzziness and Soft Computing) . ISBN : 978-3-540-26899-4 Langues : Anglais (eng) Mots-clés : Chaos  Theory  -  Fuzzy  Logic Index. décimale : 681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique Résumé : This book attempts to present some current research progress and results on the interplay of fuzzy logic and chaos theory. More specifically, this book includes a collections of some state-of-the-art surveys, tutorials, and application examples written by some experts working in the interdisciplinary fields overlapping fuzzy logic and chaos theory. The content of the book covers fuzzy definition of chaos, fuzzy modeling and control of chaotic systems using both Mamdani and Takagi-Sugeno models, fuzzy model identification using genetic algorithms and neural network schemes, bifurcation phenomena and self-referencing in fuzzy systems, complex fuzzy systems and their collective behaviours, as well as some applications of combining fuzzy logic and chaotic dynamics, such as fuzzy-chaos hybrid controllers for nonlinear dynamic systems, and fuzzy-model-based chaotic cryptosystems. This book can serve as a handy reference for researchers working in the interdisciplines related, among others, to both fuzzy logic and chaos theory. Note de contenu : Beyond the Li-Yorke definition of chaos.- Chaotic dynamics with fuzzy systems.- Fuzzy modeling and control of chaotic systems.- Fuzzy model identification using a hybrid mGA scheme with application to chaotic system modeling.- Fuzzy control of chaos.- Chaos control using fuzzy controllers.- Digital fuzzy set-point regulated chaotic systems: An intelligent digital redesign approach.- Anti-control of chaos for Takagi-Sugeno fuzzy systems.- Fuzzy chaos synchronization via sampled driving signals.- Bifurcation phenomena in elementary Takagi-Sugeno fuzzy systems.- Self-reference, chaos, and fuzzy logic.- Chaotic behaviour in recurrent Takagi-Sugeno models.- A theory of fuzzy chaos for simulation and control of nonlinear systems.- Complex fuzzy systems and their collective behaviour.- Real-time identification and forecasting of chaotic time series using hybrid systems of computational intelligence.- Fuzzy-chaos hybrid controllers for nonlinear dynamic systems.- Fuzzy model-based chaotic cryptosystems.- Evolution of complexity.- Problem solving via fuzziness-based coding of continuous constraints yielding synergetic and chaos-dependent origination structures.- Some applications of fuzzy dynamic models with chaotic properties. ISBN 13 : 978-3540268994 En ligne : http://www.springerlink.com/content/978-3-540-26899-4/#section=482837&page=1 Format de la ressource électronique : ftp.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
052147	681.51 INT	Papier	Bibliothèque Centrale	Automatique	Disponible