Documents disponibles écrits par cet auteur

An introduction to fuzzy Logic and fuzzy sets / James J. Buckley

Public ISBD Titre : An introduction to fuzzy Logic and fuzzy sets Type de document : texte imprimé Auteurs : James J. Buckley, Auteur ; Esfandiar Eslami, Auteur Editeur : Physica-Verlag Année de publication : 2002 Collection : Advances in soft computing, ISSN 1615-3871 Importance : X-284 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-3-7908-1447-7 Note générale : sure la page de titre: "With 50 Figures and 14 tables" Index Langues : Anglais (eng) Mots-clés : Logique  floue Ensembles  flous Index. décimale : 681.5 Technologie de la commande automatique. Technologie intelligence. systèmes de contrôle. Automation Résumé : This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications. Note de contenu : Logic Fuzzy Sets Fuzzy Numbers Fuzzy Equations Fuzzy Inequalities Fuzzy Relations Fuzzy Functions Fuzzy Plane Geometry Fuzzy Trigonometry Systems of Fuzzy Linear Equations Possibility Theory Neural Nets Approximate Reasoning Genetic Algorithms Fuzzy Optimization An introduction to fuzzy Logic and fuzzy sets [texte imprimé] / James J. Buckley, Auteur ; Esfandiar Eslami, Auteur . - Physica-Verlag, 2002 . - X-284 p. : ill. ; 24 cm. - (Advances in soft computing, ISSN 1615-3871) . ISBN : 978-3-7908-1447-7 sure la page de titre: "With 50 Figures and 14 tables" Index Langues : Anglais (eng) Mots-clés : Logique  floue Ensembles  flous Index. décimale : 681.5 Technologie de la commande automatique. Technologie intelligence. systèmes de contrôle. Automation Résumé : This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications. Note de contenu : Logic Fuzzy Sets Fuzzy Numbers Fuzzy Equations Fuzzy Inequalities Fuzzy Relations Fuzzy Functions Fuzzy Plane Geometry Fuzzy Trigonometry Systems of Fuzzy Linear Equations Possibility Theory Neural Nets Approximate Reasoning Genetic Algorithms Fuzzy Optimization

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
046351	681.5 BUC	Papier	Bibliothèque Centrale	Informatique	Disponible

Fuzzy expert systems and fuzzy reasoning / Silier,William

Public ISBD Titre : Fuzzy expert systems and fuzzy reasoning Type de document : texte imprimé Auteurs : Silier,William, Auteur ; James J. Buckley, Auteur Editeur : New York : Wiley Année de publication : 2001 Importance : XVI-405 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-471-38859-3 Note générale : Bibliogr. 399-402. Index Langues : Français (fre) Mots-clés : Informatique  Ordinateur Systeme  expert Fuzzy  expert  --  Fuzzy  reasoning Index. décimale : 681.3.02 Conception,construction et structures des systèmes machines et éléments de traitement de données.(Conception des systèmes) Résumé : Fuzzy sets were for a long time not accepted by the AI community. Now they have become highly evolved and their techniques are well established. This book will teach the reader how to construct a fuzzy expert system to solve real-world problems. After a general discussion of expert systems, the basic fuzzy math required is presented first, requiring little more math background than high-school algebra. This book will fill a void in the market because although there are many books on expert systems, none devote more than a few pages to the notion of fuzzy sets and their applications in this domain. Therefore their use in this book is timely and should be well received. The book is designed as a text and has ample problems with solutions, a solutions manual and an accompanying program on our ftp site. Coverage is accessible to practitioners and academic readers alike. Note de contenu : Sommaire: 1 Introduction. 2 Rule-Based Systems: Overview. 3 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: I. 4 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: II. 5 Combining Uncertainties. 6 Inference in an Expert System I. 7 Inference in a Fuzzy Expert System II: Modification of Data and Truth Values. 8 Resolving Contradictions: Possibility and Necessity. 9 Expert System Shells and the Integrated Development Environment (IDE). 10 Simple Example Programs. 11 Running and Debugging Fuzzy Expert Systems I: Parallel Programs. 12 Running and Debugging Expert Systems II: Sequential Rule-Firing. 13 Solving “What?” Problems when the Answer is Expressed in Words. 14 Programs that Can Learn from Experience. 15 Running On-Line in Real-Time. Fuzzy expert systems and fuzzy reasoning [texte imprimé] / Silier,William, Auteur ; James J. Buckley, Auteur . - New York : Wiley, 2001 . - XVI-405 p. : ill. ; 24 cm. ISBN : 978-0-471-38859-3 Bibliogr. 399-402. Index Langues : Français (fre) Mots-clés : Informatique  Ordinateur Systeme  expert Fuzzy  expert  --  Fuzzy  reasoning Index. décimale : 681.3.02 Conception,construction et structures des systèmes machines et éléments de traitement de données.(Conception des systèmes) Résumé : Fuzzy sets were for a long time not accepted by the AI community. Now they have become highly evolved and their techniques are well established. This book will teach the reader how to construct a fuzzy expert system to solve real-world problems. After a general discussion of expert systems, the basic fuzzy math required is presented first, requiring little more math background than high-school algebra. This book will fill a void in the market because although there are many books on expert systems, none devote more than a few pages to the notion of fuzzy sets and their applications in this domain. Therefore their use in this book is timely and should be well received. The book is designed as a text and has ample problems with solutions, a solutions manual and an accompanying program on our ftp site. Coverage is accessible to practitioners and academic readers alike. Note de contenu : Sommaire: 1 Introduction. 2 Rule-Based Systems: Overview. 3 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: I. 4 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: II. 5 Combining Uncertainties. 6 Inference in an Expert System I. 7 Inference in a Fuzzy Expert System II: Modification of Data and Truth Values. 8 Resolving Contradictions: Possibility and Necessity. 9 Expert System Shells and the Integrated Development Environment (IDE). 10 Simple Example Programs. 11 Running and Debugging Fuzzy Expert Systems I: Parallel Programs. 12 Running and Debugging Expert Systems II: Sequential Rule-Firing. 13 Solving “What?” Problems when the Answer is Expressed in Words. 14 Programs that Can Learn from Experience. 15 Running On-Line in Real-Time.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
048419	681.3.02 SIL	Papier	Bibliothèque Centrale	Informatique	Disponible	Consultation sur place