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Inventur kompakt : Ein kurzer Leitfaden zur Stichtagsinventur mit Checklisten und Vordrucken / / Elmar Goldstein
| Inventur kompakt : Ein kurzer Leitfaden zur Stichtagsinventur mit Checklisten und Vordrucken / / Elmar Goldstein |
| Autore | Goldstein Elmar |
| Edizione | [3. überarbeitete Auflage.] |
| Pubbl/distr/stampa | Bensheim, Germany : , : FVSR Fachverlag für Steuern und Recht, , 2016 |
| Descrizione fisica | 1 online resource (77 pages) |
| Disciplina | 658.4034 |
| Soggetto topico |
Operations research
Fuzzy systems Decision making |
| ISBN | 3-941729-54-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910163126103321 |
Goldstein Elmar
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| Bensheim, Germany : , : FVSR Fachverlag für Steuern und Recht, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Iranian journal of fuzzy systems
| Iranian journal of fuzzy systems |
| Pubbl/distr/stampa | Zahedan, Iran : , : University of Sistan and Baluchistan, , 2004- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Fuzzy systems
Fuzzy sets Systèmes flous Ensembles flous |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2676-4334 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | IJFS |
| Record Nr. | UNISA-996218113403316 |
| Zahedan, Iran : , : University of Sistan and Baluchistan, , 2004- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Iranian journal of fuzzy systems
| Iranian journal of fuzzy systems |
| Pubbl/distr/stampa | Zahedan, Iran : , : University of Sistan and Baluchistan, , 2004- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Fuzzy systems
Fuzzy sets Systèmes flous Ensembles flous |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2676-4334 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | IJFS |
| Record Nr. | UNINA-9910146565303321 |
| Zahedan, Iran : , : University of Sistan and Baluchistan, , 2004- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Journal of intelligent & fuzzy systems
| Journal of intelligent & fuzzy systems |
| Pubbl/distr/stampa | [Amsterdam], : IOS Press |
| Disciplina | 602.8563 |
| Soggetto topico |
Intelligent control systems
Fuzzy systems |
| ISSN | 1875-8967 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Journal of intelligent and fuzzy systems |
| Record Nr. | UNISA-996204654903316 |
| [Amsterdam], : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Journal of intelligent & fuzzy systems
| Journal of intelligent & fuzzy systems |
| Pubbl/distr/stampa | [Amsterdam], : IOS Press |
| Disciplina | 602.8563 |
| Soggetto topico |
Intelligent control systems
Fuzzy systems |
| ISSN | 1875-8967 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Journal of intelligent and fuzzy systems |
| Record Nr. | UNINA-9910172117603321 |
| [Amsterdam], : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Knowledge-based clustering [[electronic resource] ] : from data to information granules / / Witold Pedrycz
| Knowledge-based clustering [[electronic resource] ] : from data to information granules / / Witold Pedrycz |
| Autore | Pedrycz Witold <1953-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2005 |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 006.3 |
| Soggetto topico |
Soft computing
Granular computing Fuzzy systems |
| ISBN |
1-280-27547-2
9786610275472 0-470-24355-4 0-471-70859-3 0-471-70860-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
KNOWLEDGE-BASED CLUSTERING; Contents; Foreword; Preface; 1 Clustering and Fuzzy Clustering; 1.1 Introduction; 1.2 Basic Notions and Notation; 1.2.1 Types of Data; 1.2.2 Distance and Similarity; 1.3 Main Categories of Clustering Algorithms; 1.3.1 Hierarchical Clustering; 1.3.2 Objective Function-Based Clustering; 1.4 Clustering and Classification; 1.5 Fuzzy Clustering; 1.6 Cluster Validity; 1.7 Extensions of Objective Function-Based Fuzzy Clustering; 1.7.1 Augmented Geometry of Fuzzy Clusters: Fuzzy C Varieties; 1.7.2 Possibilistic Clustering; 1.7.3 Noise Clustering
1.8 Self-Organizing Maps and Fuzzy Objective Function-Based Clustering1.9 Conclusions; References; 2 Computing with Granular Information: Fuzzy Sets and Fuzzy Relations; 2.1 A Paradigm of Granular Computing: Information Granules and Their Processing; 2.2 Fuzzy Sets as Human-Centric Information Granules; 2.3 Operations on Fuzzy Sets; 2.4 Fuzzy Relations; 2.5 Comparison of Two Fuzzy Sets; 2.6 Generalizations of Fuzzy Sets; 2.7 Shadowed Sets; 2.8 Rough Sets; 2.9 Granular Computing and Distributed Processing; 2.10 Conclusions; References; 3 Logic-Oriented Neurocomputing; 3.1 Introduction 3.2 Main Categories of Fuzzy Neurons3.2.1 Aggregative Neurons; 3.2.2 Referential (Reference) Neurons; 3.3 Architectures of Logic Networks; 3.4 Interpretation Aspects of the Networks; 3.5 Granular Interfaces of Logic Processing; 3.6 Conclusions; References; 4 Conditional Fuzzy Clustering; 4.1 Introduction; 4.2 Problem Statement: Context Fuzzy Sets and Objective Function; 4.3 The Optimization Problem; 4.4 Computational Considerations of Conditional Clustering; 4.5 Generalizations of the Algorithm Through the Aggregation Operator; 4.6 Fuzzy Clustering with Spatial Constraints; 4.7 Conclusions References5 Clustering with Partial Supervision; 5.1 Introduction; 5.2 Problem Formulation; 5.3 Design of the Clusters; 5.4 Experimental Examples; 5.5 Cluster-Based Tracking Problem; 5.6 Conclusions; References; 6 Principles of Knowledge-Based Guidance in Fuzzy Clustering; 6.1 Introduction; 6.2 Examples of Knowledge-Oriented Hints and Their General Taxonomy; 6.3 The Optimization Environment of Knowledge-Enhanced Clustering; 6.4 Quantification of Knowledge-Based Guidance Hints and Their Optimization; 6.5 Organization of the Interaction Process; 6.6 Proximity-Based Clustering (P-FCM) 6.7 Web Exploration and P-FCM6.8 Linguistic Augmentation of Knowledge-Based Hints; 6.9 Conclusions; References; 7 Collaborative Clustering; 7.1 Introduction and Rationale; 7.2 Horizontal and Vertical Clustering; 7.3 Horizontal Collaborative Clustering; 7.3.1 Optimization Details; 7.3.2 The Flow of Computing of Collaborative Clustering; 7.3.3 Quantification of the Collaborative Phenomenon of Clustering; 7.4 Experimental Studies; 7.5 Further Enhancements of Horizontal Clustering; 7.6 The Algorithm of Vertical Clustering; 7.7 A Grid Model of Horizontal and Vertical Clustering 7.8 Consensus Clustering |
| Record Nr. | UNINA-9910146055403321 |
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Pedrycz Witold <1953->
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| Hoboken, N.J., : Wiley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Knowledge-based clustering [[electronic resource] ] : from data to information granules / / Witold Pedrycz
| Knowledge-based clustering [[electronic resource] ] : from data to information granules / / Witold Pedrycz |
| Autore | Pedrycz Witold <1953-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2005 |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 006.3 |
| Soggetto topico |
Soft computing
Granular computing Fuzzy systems |
| ISBN |
1-280-27547-2
9786610275472 0-470-24355-4 0-471-70859-3 0-471-70860-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
KNOWLEDGE-BASED CLUSTERING; Contents; Foreword; Preface; 1 Clustering and Fuzzy Clustering; 1.1 Introduction; 1.2 Basic Notions and Notation; 1.2.1 Types of Data; 1.2.2 Distance and Similarity; 1.3 Main Categories of Clustering Algorithms; 1.3.1 Hierarchical Clustering; 1.3.2 Objective Function-Based Clustering; 1.4 Clustering and Classification; 1.5 Fuzzy Clustering; 1.6 Cluster Validity; 1.7 Extensions of Objective Function-Based Fuzzy Clustering; 1.7.1 Augmented Geometry of Fuzzy Clusters: Fuzzy C Varieties; 1.7.2 Possibilistic Clustering; 1.7.3 Noise Clustering
1.8 Self-Organizing Maps and Fuzzy Objective Function-Based Clustering1.9 Conclusions; References; 2 Computing with Granular Information: Fuzzy Sets and Fuzzy Relations; 2.1 A Paradigm of Granular Computing: Information Granules and Their Processing; 2.2 Fuzzy Sets as Human-Centric Information Granules; 2.3 Operations on Fuzzy Sets; 2.4 Fuzzy Relations; 2.5 Comparison of Two Fuzzy Sets; 2.6 Generalizations of Fuzzy Sets; 2.7 Shadowed Sets; 2.8 Rough Sets; 2.9 Granular Computing and Distributed Processing; 2.10 Conclusions; References; 3 Logic-Oriented Neurocomputing; 3.1 Introduction 3.2 Main Categories of Fuzzy Neurons3.2.1 Aggregative Neurons; 3.2.2 Referential (Reference) Neurons; 3.3 Architectures of Logic Networks; 3.4 Interpretation Aspects of the Networks; 3.5 Granular Interfaces of Logic Processing; 3.6 Conclusions; References; 4 Conditional Fuzzy Clustering; 4.1 Introduction; 4.2 Problem Statement: Context Fuzzy Sets and Objective Function; 4.3 The Optimization Problem; 4.4 Computational Considerations of Conditional Clustering; 4.5 Generalizations of the Algorithm Through the Aggregation Operator; 4.6 Fuzzy Clustering with Spatial Constraints; 4.7 Conclusions References5 Clustering with Partial Supervision; 5.1 Introduction; 5.2 Problem Formulation; 5.3 Design of the Clusters; 5.4 Experimental Examples; 5.5 Cluster-Based Tracking Problem; 5.6 Conclusions; References; 6 Principles of Knowledge-Based Guidance in Fuzzy Clustering; 6.1 Introduction; 6.2 Examples of Knowledge-Oriented Hints and Their General Taxonomy; 6.3 The Optimization Environment of Knowledge-Enhanced Clustering; 6.4 Quantification of Knowledge-Based Guidance Hints and Their Optimization; 6.5 Organization of the Interaction Process; 6.6 Proximity-Based Clustering (P-FCM) 6.7 Web Exploration and P-FCM6.8 Linguistic Augmentation of Knowledge-Based Hints; 6.9 Conclusions; References; 7 Collaborative Clustering; 7.1 Introduction and Rationale; 7.2 Horizontal and Vertical Clustering; 7.3 Horizontal Collaborative Clustering; 7.3.1 Optimization Details; 7.3.2 The Flow of Computing of Collaborative Clustering; 7.3.3 Quantification of the Collaborative Phenomenon of Clustering; 7.4 Experimental Studies; 7.5 Further Enhancements of Horizontal Clustering; 7.6 The Algorithm of Vertical Clustering; 7.7 A Grid Model of Horizontal and Vertical Clustering 7.8 Consensus Clustering |
| Record Nr. | UNINA-9910806144503321 |
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Pedrycz Witold <1953->
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| Hoboken, N.J., : Wiley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A learner's guide to fuzzy logic systems / / K. Sundareswaran
| A learner's guide to fuzzy logic systems / / K. Sundareswaran |
| Autore | Sundareswaran K. |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | New York, NY : , : CRC Press, , [2020] |
| Descrizione fisica | 1 online resource (127 pages) |
| Disciplina | 511.313 |
| Collana | CRC focus |
| Soggetto topico |
Fuzzy logic
Fuzzy systems |
| ISBN |
1-000-04399-1
1-000-03431-3 0-429-28783-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910793662603321 |
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Sundareswaran K.
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| New York, NY : , : CRC Press, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A learner's guide to fuzzy logic systems / / K. Sundareswaran
| A learner's guide to fuzzy logic systems / / K. Sundareswaran |
| Autore | Sundareswaran K. |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | New York, NY : , : CRC Press, , [2020] |
| Descrizione fisica | 1 online resource (127 pages) |
| Disciplina | 511.313 |
| Collana | CRC focus |
| Soggetto topico |
Fuzzy logic
Fuzzy systems |
| ISBN |
1-000-04399-1
1-000-03431-3 0-429-28783-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910820703303321 |
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Sundareswaran K.
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| New York, NY : , : CRC Press, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning from data : concepts, theory, and methods / / Vladimir Cherkassky, Filip Mulier
| Learning from data : concepts, theory, and methods / / Vladimir Cherkassky, Filip Mulier |
| Autore | Cherkassky Vladimir S |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : IEEE Press : , c2007 |
| Descrizione fisica | 1 online resource (558 p.) |
| Disciplina |
006.31
006.32 |
| Altri autori (Persone) | MulierFilip |
| Soggetto topico |
Adaptive signal processing
Machine learning Neural networks (Computer science) Fuzzy systems |
| ISBN |
1-281-00188-0
9786611001889 0-470-14052-6 0-470-14051-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Problem statement, classical approaches, and adaptive learning -- Regularization framework -- Statistical learning theory -- Nonlinear optimization strategies -- Methods for data reduction and dimensionality reduction -- Methods for regression -- Classification -- Support vector machines -- Noninductive inference and alternative learning formulations. |
| Record Nr. | UNINA-9910144576703321 |
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Cherkassky Vladimir S
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| Hoboken, New Jersey : , : IEEE Press : , c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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