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Agent-directed simulation and systems engineering [[electronic resource] /] / Levent Yilmaz and Tuncer Ören
| Agent-directed simulation and systems engineering [[electronic resource] /] / Levent Yilmaz and Tuncer Ören |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, 2009 |
| Descrizione fisica | 1 online resource (551 p.) |
| Disciplina | 620.00113 |
| Altri autori (Persone) |
ÖrenTuncer I
YilmazLevent <1971-> |
| Collana | Wiley series in systems engineering and management |
| Soggetto topico |
Computer simulation
Intelligent agents (Computer software) Systems engineering - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-38053-2
9786612380532 3-527-62778-2 3-527-62779-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Agent-Directed Simulation and Systems Engineering; Foreword; Contents; Preface; List of Contributors; Part One Background; 1 Modeling and Simulation: a Comprehensive and Integrative View; 1.1 Introduction; 1.2 Simulation: Several Perspectives; 1.2.1 Purpose of Use; 1.2.2 Problem to Be Solved; 1.2.3 Connectivity of Operations; 1.2.4 M&S as a Type of Knowledge Processing; 1.2.5 M&S from the Perspective of Philosophy of Science; 1.3 Model-Based Activities; 1.3.1 Model Building; 1.3.2 Model-Base Management; 1.3.3 Model Processing; 1.3.4 Behavior Generation
1.4 Synergies of M&S: Mutual and Higher-Order Contributions1.5 Advancement of M&S; 1.6 Preeminence of M&S; 1.6.1 Physical Tools; 1.6.2 Knowledge-Based or Soft Tools; 1.6.3 Knowledge Generation Tools; 1.7 Summary and Conclusions; 2 Autonomic Introspective Simulation Systems; 2.1 Introduction; 2.2 Perspective and Background on Autonomic Systems; 2.3 Decentralized Autonomic Simulation Systems: Prospects and Issues; 2.3.1 Motivating Scenario: Adaptive Experience Management in Distributed Mission Training; 2.3.2 An Architectural Framework for Decentralized Autonomic Simulation Systems 2.3.3 Challenges and Issues2.4 Symbiotic Adaptive Multisimulation: An Autonomic Simulation System; 2.4.1 Metamodels for Introspection Layer Design; 2.4.2 Local Adaptation: First-Order Change via Particle Swarm Optimizer; 2.4.3 The Learning Layer: Genetic Search of Potential System Configurations; 2.4.4 SAMS Component Architecture; 2.5 Case Study: UAV Search and Attack Scenario; 2.5.1 Input Factors; 2.5.2 Agent Specifications; 2.6 Validation and Preliminary Experimentation with SAMS; 2.6.1 Face Validity of the UAV Model; 2.6.2 Experiments with the Parallel SAMS Application; 2.7 Summary Part Two Agents and Modeling and Simulation3 Agents: Agenthood, Agent Architectures, and Agent Taxonomies; 3.1 Introduction; 3.2 Agenthood; 3.2.1 Defining Agents; 3.2.2 Situated Environment and Agent Society; 3.3 Agent Architectures; 3.3.1 Realizing Situatedness; 3.3.2 Realizing Autonomy; 3.3.3 Realizing Flexibility; 3.3.4 Architectures and Characteristics; 3.4 Agenthood Implications for Practical Applications; 3.4.1 Systems Engineering, Simulation, and Agents; 3.4.2 Modeling and Simulating Human Behavior for Systems Engineering; 3.4.3 Simulation-Based Testing in Systems Engineering 3.4.4 Simulation as Support for Decision Making in Systems Engineering3.4.5 Implications for Modeling and Simulation Methods; 3.5 Agent Taxonomies; 3.5.1 History and Application-Specific Taxonomies; 3.5.2 Categorizing the Agent Space; 3.6 Concluding Discussion; 4 Agent-directed Simulation; 4.1 Introduction; 4.2 Background; 4.2.1 Software Agents; 4.2.2 Complexity; 4.2.3 Complex Systems of Systems; 4.2.4 Software Agents within the Spectrum of Computational Paradigms; 4.3 Categorizing the Use of Agents in Simulation; 4.3.1 Agent Simulation; 4.3.2 Agent-Based Simulation 4.3.3 Agent-Supported Simulation |
| Record Nr. | UNINA-9910139541803321 |
| Weinheim, : Wiley-VCH, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Agent-directed simulation and systems engineering [[electronic resource] /] / Levent Yilmaz and Tuncer Ören
| Agent-directed simulation and systems engineering [[electronic resource] /] / Levent Yilmaz and Tuncer Ören |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, 2009 |
| Descrizione fisica | 1 online resource (551 p.) |
| Disciplina | 620.00113 |
| Altri autori (Persone) |
ÖrenTuncer I
YilmazLevent <1971-> |
| Collana | Wiley series in systems engineering and management |
| Soggetto topico |
Computer simulation
Intelligent agents (Computer software) Systems engineering - Data processing |
| ISBN |
1-282-38053-2
9786612380532 3-527-62778-2 3-527-62779-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Agent-Directed Simulation and Systems Engineering; Foreword; Contents; Preface; List of Contributors; Part One Background; 1 Modeling and Simulation: a Comprehensive and Integrative View; 1.1 Introduction; 1.2 Simulation: Several Perspectives; 1.2.1 Purpose of Use; 1.2.2 Problem to Be Solved; 1.2.3 Connectivity of Operations; 1.2.4 M&S as a Type of Knowledge Processing; 1.2.5 M&S from the Perspective of Philosophy of Science; 1.3 Model-Based Activities; 1.3.1 Model Building; 1.3.2 Model-Base Management; 1.3.3 Model Processing; 1.3.4 Behavior Generation
1.4 Synergies of M&S: Mutual and Higher-Order Contributions1.5 Advancement of M&S; 1.6 Preeminence of M&S; 1.6.1 Physical Tools; 1.6.2 Knowledge-Based or Soft Tools; 1.6.3 Knowledge Generation Tools; 1.7 Summary and Conclusions; 2 Autonomic Introspective Simulation Systems; 2.1 Introduction; 2.2 Perspective and Background on Autonomic Systems; 2.3 Decentralized Autonomic Simulation Systems: Prospects and Issues; 2.3.1 Motivating Scenario: Adaptive Experience Management in Distributed Mission Training; 2.3.2 An Architectural Framework for Decentralized Autonomic Simulation Systems 2.3.3 Challenges and Issues2.4 Symbiotic Adaptive Multisimulation: An Autonomic Simulation System; 2.4.1 Metamodels for Introspection Layer Design; 2.4.2 Local Adaptation: First-Order Change via Particle Swarm Optimizer; 2.4.3 The Learning Layer: Genetic Search of Potential System Configurations; 2.4.4 SAMS Component Architecture; 2.5 Case Study: UAV Search and Attack Scenario; 2.5.1 Input Factors; 2.5.2 Agent Specifications; 2.6 Validation and Preliminary Experimentation with SAMS; 2.6.1 Face Validity of the UAV Model; 2.6.2 Experiments with the Parallel SAMS Application; 2.7 Summary Part Two Agents and Modeling and Simulation3 Agents: Agenthood, Agent Architectures, and Agent Taxonomies; 3.1 Introduction; 3.2 Agenthood; 3.2.1 Defining Agents; 3.2.2 Situated Environment and Agent Society; 3.3 Agent Architectures; 3.3.1 Realizing Situatedness; 3.3.2 Realizing Autonomy; 3.3.3 Realizing Flexibility; 3.3.4 Architectures and Characteristics; 3.4 Agenthood Implications for Practical Applications; 3.4.1 Systems Engineering, Simulation, and Agents; 3.4.2 Modeling and Simulating Human Behavior for Systems Engineering; 3.4.3 Simulation-Based Testing in Systems Engineering 3.4.4 Simulation as Support for Decision Making in Systems Engineering3.4.5 Implications for Modeling and Simulation Methods; 3.5 Agent Taxonomies; 3.5.1 History and Application-Specific Taxonomies; 3.5.2 Categorizing the Agent Space; 3.6 Concluding Discussion; 4 Agent-directed Simulation; 4.1 Introduction; 4.2 Background; 4.2.1 Software Agents; 4.2.2 Complexity; 4.2.3 Complex Systems of Systems; 4.2.4 Software Agents within the Spectrum of Computational Paradigms; 4.3 Categorizing the Use of Agents in Simulation; 4.3.1 Agent Simulation; 4.3.2 Agent-Based Simulation 4.3.3 Agent-Supported Simulation |
| Record Nr. | UNINA-9910830138603321 |
| Weinheim, : Wiley-VCH, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Agent-directed simulation and systems engineering [[electronic resource] /] / Levent Yilmaz and Tuncer Ören
| Agent-directed simulation and systems engineering [[electronic resource] /] / Levent Yilmaz and Tuncer Ören |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, 2009 |
| Descrizione fisica | 1 online resource (551 p.) |
| Disciplina | 620.00113 |
| Altri autori (Persone) |
ÖrenTuncer I
YilmazLevent <1971-> |
| Collana | Wiley series in systems engineering and management |
| Soggetto topico |
Computer simulation
Intelligent agents (Computer software) Systems engineering - Data processing |
| ISBN |
1-282-38053-2
9786612380532 3-527-62778-2 3-527-62779-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Agent-Directed Simulation and Systems Engineering; Foreword; Contents; Preface; List of Contributors; Part One Background; 1 Modeling and Simulation: a Comprehensive and Integrative View; 1.1 Introduction; 1.2 Simulation: Several Perspectives; 1.2.1 Purpose of Use; 1.2.2 Problem to Be Solved; 1.2.3 Connectivity of Operations; 1.2.4 M&S as a Type of Knowledge Processing; 1.2.5 M&S from the Perspective of Philosophy of Science; 1.3 Model-Based Activities; 1.3.1 Model Building; 1.3.2 Model-Base Management; 1.3.3 Model Processing; 1.3.4 Behavior Generation
1.4 Synergies of M&S: Mutual and Higher-Order Contributions1.5 Advancement of M&S; 1.6 Preeminence of M&S; 1.6.1 Physical Tools; 1.6.2 Knowledge-Based or Soft Tools; 1.6.3 Knowledge Generation Tools; 1.7 Summary and Conclusions; 2 Autonomic Introspective Simulation Systems; 2.1 Introduction; 2.2 Perspective and Background on Autonomic Systems; 2.3 Decentralized Autonomic Simulation Systems: Prospects and Issues; 2.3.1 Motivating Scenario: Adaptive Experience Management in Distributed Mission Training; 2.3.2 An Architectural Framework for Decentralized Autonomic Simulation Systems 2.3.3 Challenges and Issues2.4 Symbiotic Adaptive Multisimulation: An Autonomic Simulation System; 2.4.1 Metamodels for Introspection Layer Design; 2.4.2 Local Adaptation: First-Order Change via Particle Swarm Optimizer; 2.4.3 The Learning Layer: Genetic Search of Potential System Configurations; 2.4.4 SAMS Component Architecture; 2.5 Case Study: UAV Search and Attack Scenario; 2.5.1 Input Factors; 2.5.2 Agent Specifications; 2.6 Validation and Preliminary Experimentation with SAMS; 2.6.1 Face Validity of the UAV Model; 2.6.2 Experiments with the Parallel SAMS Application; 2.7 Summary Part Two Agents and Modeling and Simulation3 Agents: Agenthood, Agent Architectures, and Agent Taxonomies; 3.1 Introduction; 3.2 Agenthood; 3.2.1 Defining Agents; 3.2.2 Situated Environment and Agent Society; 3.3 Agent Architectures; 3.3.1 Realizing Situatedness; 3.3.2 Realizing Autonomy; 3.3.3 Realizing Flexibility; 3.3.4 Architectures and Characteristics; 3.4 Agenthood Implications for Practical Applications; 3.4.1 Systems Engineering, Simulation, and Agents; 3.4.2 Modeling and Simulating Human Behavior for Systems Engineering; 3.4.3 Simulation-Based Testing in Systems Engineering 3.4.4 Simulation as Support for Decision Making in Systems Engineering3.4.5 Implications for Modeling and Simulation Methods; 3.5 Agent Taxonomies; 3.5.1 History and Application-Specific Taxonomies; 3.5.2 Categorizing the Agent Space; 3.6 Concluding Discussion; 4 Agent-directed Simulation; 4.1 Introduction; 4.2 Background; 4.2.1 Software Agents; 4.2.2 Complexity; 4.2.3 Complex Systems of Systems; 4.2.4 Software Agents within the Spectrum of Computational Paradigms; 4.3 Categorizing the Use of Agents in Simulation; 4.3.1 Agent Simulation; 4.3.2 Agent-Based Simulation 4.3.3 Agent-Supported Simulation |
| Record Nr. | UNINA-9910841664903321 |
| Weinheim, : Wiley-VCH, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Essentials of applied dynamic analysis / / Junbo Jia
| Essentials of applied dynamic analysis / / Junbo Jia |
| Autore | Jia Junbo |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Heidelberg [Germany] : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (xviii, 424 pages) : illustrations (some color) |
| Disciplina | 620.00113 |
| Collana | Risk Engineering |
| Soggetto topico |
Dynamics
Mechanical engineering Civil engineering |
| ISBN | 3-642-37003-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Governing Equation of Motions -- Free Vibrations for a Single-Degree-of-Freedom (SDOF) System–Translational Oscillations -- Practical Eigenanalysis and Structural Health Monitoring -- Solving Eigenproblem for Continuous Systems: Rayleigh Energy Method -- Vibration and Buckling Under Axial Loading -- Eigenfrequencies of Non-uniform Beams, Shallow and Deep Foundations -- Deterministic and Stochastic Motions -- Time Domain to Frequency Domain: Spectrum Analysis -- Statistics of Motions and Loads -- Forced Vibrations -- Calculation of Environmental Loading Based on Power Spectra -- Vibration of Multi-Degrees-of-Freedom Systems -- Damping -- Nonlinear Dynamics -- Structural Responses Due to Seismic Excitations -- Fatigue Assessment -- Human Body Vibrations -- Vehicle-Structure Interactions. |
| Record Nr. | UNINA-9910299723003321 |
Jia Junbo
|
||
| Heidelberg [Germany] : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy systems engineering : toward human-centric computing / / Witold Pedrycz, Fernando Gomide
| Fuzzy systems engineering : toward human-centric computing / / Witold Pedrycz, Fernando Gomide |
| Autore | Pedrycz Witold <1953-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley : , c2007 |
| Descrizione fisica | 1 online resource (550 p.) |
| Disciplina |
006.3
620.00113 |
| Altri autori (Persone) | GomideFernando |
| Soggetto topico |
Soft computing
Fuzzy systems |
| ISBN |
1-281-00192-9
9786611001926 0-470-16896-X 0-470-16895-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface -- 1 Introduction -- 1.1 Digital communities and a fundamental quest for human-centric systems -- 1.2 A historical overview: towards a non-Aristotelian perspective of the world -- 1.3 Granular Computing -- 1.4 Quantifying information granularity: generality versus specificity -- 1.5 Computational Intelligence -- 1.6 Granular Computing and Computational Intelligence -- 1.7 Conclusions -- Exercises and problems -- Historical notes -- References -- 2 Notions and Concepts of Fuzzy Sets -- 2.1 Sets and fuzzy sets: a departure from the principle of dichotomy -- 2.2 Interpretation of fuzzy sets -- 2.3 Membership functions and their motivation -- 2.4 Fuzzy numbers and intervals -- 2.5 Linguistic variables -- 2.6 Conclusions -- Exercises and problems -- Historical notes -- References -- 3 Characterization of Fuzzy Sets -- 3.1 A generic characterization of fuzzy sets: some fundamental descriptors -- 3.2 Equality and inclusion relationships in fuzzy sets -- 3.3 Energy and entropy measures of fuzziness -- 3.4 Specificity of fuzzy sets -- 3.5 Geometric interpretation of sets and fuzzy sets -- 3.6 Granulation of information -- 3.7 Characterization of the families of fuzzy sets -- 3.8 Fuzzy sets, sets, and the representation theorem -- 3.9 Conclusions -- Exercises and problems -- Historical notes -- References -- 4 The Design of Fuzzy Sets -- 4.1 Semantics of fuzzy sets: some general observations -- 4.2 Fuzzy set as a descriptor of feasible solutions -- 4.3 Fuzzy set as a descriptor of the notion of typicality -- 4.4 Membership functions in the visualization of preferences of solutions -- 4.5 Nonlinear transformation of fuzzy sets -- 4.6 Vertical and horizontal schemes of membership estimation -- 4.7 Saaty's priority method of pairwise membership function estimation -- 4.8 Fuzzy sets as granular representatives of numeric data -- 4.9 From numeric data to fuzzy sets -- 4.10 Fuzzy equalization -- 4.11 Linguistic approximation.
4.12 Design guidelines for the construction of fuzzy sets -- 4.13 Conclusions -- Exercises and problems -- Historical notes -- References -- 5 Operations and Aggregations of Fuzzy Sets -- 5.1 Standard operations on sets and fuzzy sets -- 5.2 Generic requirements for operations on fuzzy sets -- 5.3 Triangular norms -- 5.4 Triangular conorms -- 5.5 Triangular norms as a general category of logical operators -- 5.6 Aggregation operations -- 5.7 Fuzzy measure and integral -- 5.8 Negations -- 5.9 Conclusions -- Exercises and problems -- Historical notes -- References -- 6 Fuzzy Relations -- 6.1 The concept of relations -- 6.2 Fuzzy relations -- 6.3 Properties of the fuzzy relations -- 6.4 Operations on fuzzy relations -- 6.5 Cartesian product, projections and cylindrical extension of fuzzy sets -- 6.6 Reconstruction of fuzzy relations -- 6.7 Binary fuzzy relations -- 6.8 Conclusions -- Exercises and problems -- Historical notes -- References -- 7 Transformations of Fuzzy Sets -- 7.1 The extension principle -- 7.2 Compositions of fuzzy relations -- 7.3 Fuzzy relational equations -- 7.4 Associative Memories -- 7.5 Fuzzy numbers and fuzzy arithmetic -- 7.6 Conclusions -- Exercises and problems -- Historical notes -- References -- 8 Generalizations and Extensions of Fuzzy Sets -- 8.1 Fuzzy sets of higher order -- 8.2 Rough fuzzy sets and fuzzy rough sets -- 8.3 Interval-valued fuzzy sets -- 8.4 Type-2 fuzzy sets -- 8.5 Shadowed sets as a three-valued logic characterization of fuzzy sets -- 8.6 Probability and fuzzy sets -- 8.7 Probability of fuzzy events -- 8.8 Conclusions -- Exercises and problems -- Historical notes -- References -- 9 Interoperability Aspects of Fuzzy Sets -- 9.1 Fuzzy set and its family of s-cuts -- 9.2 Fuzzy sets and their interfacing with the external world -- 9.3 Encoding and decoding as an optimization problem of vector quantization -- 9.4 Decoding of a fuzzy set through a family of fuzzy sets. 9.5 Taxonomy of data in structure description with shadowed sets -- 9.6 Conclusions -- Exercises and problems -- Historical notes -- References -- 10. Fuzzy Modeling: Principles and Methodology -- 10.1 The architectural blueprint of fuzzy models -- 10.2 Key phases of the development and use of fuzzy models -- 10.3 Main categories of fuzzy models: an overview -- 10.4 Verification and validation of fuzzy models -- 10.5 Conclusions -- Exercises and problems -- Historical notes -- References -- 11 Rule-based Fuzzy Models -- 11.1 Fuzzy rules as a vehicle of knowledge representation -- 11.2 General categories of fuzzy rules and their semantics -- 11.3 Syntax of fuzzy rules -- 11.4 Basic Functional Modules: Rule base, Database, and Inference scheme -- 11.5 Types of Rule-Based Systems and Architectures -- 11.6 Approximation properties of fuzzy rule-based models -- 11.7 Development of Rule-Based Systems -- 11.8 Parameter estimation procedure for functional rule-based systems -- 11.9 Design issues of rule-based systems - consistency, completeness, and the curse of dimensionality -- 11.10 The curse of dimensionality in rule-based systems -- 11.11 Development scheme of fuzzy rule-based models -- 11.12 Conclusions -- Exercises and problems -- Historical notes -- References -- 12 From Logic Expressions to Fuzzy Logic Networks -- 12.1 Introduction -- 12.2 Main categories of fuzzy neurons -- 12.3 Uninorm-based fuzzy neurons -- 12.4 Architectures of logic networks -- 12.5 The development mechanisms of the fuzzy neural networks -- 12.6 Interpretation of the fuzzy neural networks -- 12.7 From fuzzy logic networks to Boolean functions and their minimization through learning -- 12.8 Interfacing the fuzzy neural network -- 12.9 Interpretation aspects - a refinement of induced rule-based system -- 12.10 Reconciliation of perception of information granules and granular mappings -- 12.11 Conclusions -- Exercises and problems -- Historical notes. References -- 13. Fuzzy Systems and Computational Intelligence -- 13.1 Computational Intelligence -- 13.2 Recurrent neurofuzzy systems -- 13.3 Genetic fuzzy systems -- 13.4 Coevolutionary hierarchical genetic fuzzy system -- 13.5 Hierarchical collaborative relations -- 13.6 Evolving fuzzy systems -- 13.7 Conclusions -- Exercises and problems -- Historical notes -- References -- 14. Granular Models and Human Centric Computing -- 14.1 The cluster-based representation of the input - output mappings -- 14.2 Context-based clustering in the development of granular models -- 14.3 Granular neuron as a generic processing element in granular networks -- 14.4 Architecture of granular models based on conditional fuzzy clustering -- 14.5 Refinements of granular models -- 14.6 Incremental granular models -- 14.7 Human-centric fuzzy clustering -- 14.8 Participatory learning in fuzzy clustering -- 14.9 Conclusions -- Exercises and problems -- Historical notes -- References -- 15. Emerging Trends in Fuzzy Systems -- 15.1 Relational ontology in information retrieval -- 15.2 Multiagent fuzzy systems -- 15.3 Distributed fuzzy control -- 15.4 Conclusions -- Exercises and problems -- Historical notes -- References -- Appendix A: Mathematical Prerequisites -- Appendix B: Neurocomputing -- Appendix C: Biologically Inspired Optimization -- Index. |
| Record Nr. | UNINA-9910144575803321 |
|
Pedrycz Witold <1953->
|
||
| Hoboken, New Jersey : , : John Wiley : , c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fuzzy systems engineering : toward human-centric computing / / Witold Pedrycz, Fernando Gomide
| Fuzzy systems engineering : toward human-centric computing / / Witold Pedrycz, Fernando Gomide |
| Autore | Pedrycz Witold <1953-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley : , c2007 |
| Descrizione fisica | 1 online resource (550 p.) |
| Disciplina |
006.3
620.00113 |
| Altri autori (Persone) | GomideFernando |
| Soggetto topico |
Soft computing
Fuzzy systems |
| ISBN |
1-281-00192-9
9786611001926 0-470-16896-X 0-470-16895-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface -- 1 Introduction -- 1.1 Digital communities and a fundamental quest for human-centric systems -- 1.2 A historical overview: towards a non-Aristotelian perspective of the world -- 1.3 Granular Computing -- 1.4 Quantifying information granularity: generality versus specificity -- 1.5 Computational Intelligence -- 1.6 Granular Computing and Computational Intelligence -- 1.7 Conclusions -- Exercises and problems -- Historical notes -- References -- 2 Notions and Concepts of Fuzzy Sets -- 2.1 Sets and fuzzy sets: a departure from the principle of dichotomy -- 2.2 Interpretation of fuzzy sets -- 2.3 Membership functions and their motivation -- 2.4 Fuzzy numbers and intervals -- 2.5 Linguistic variables -- 2.6 Conclusions -- Exercises and problems -- Historical notes -- References -- 3 Characterization of Fuzzy Sets -- 3.1 A generic characterization of fuzzy sets: some fundamental descriptors -- 3.2 Equality and inclusion relationships in fuzzy sets -- 3.3 Energy and entropy measures of fuzziness -- 3.4 Specificity of fuzzy sets -- 3.5 Geometric interpretation of sets and fuzzy sets -- 3.6 Granulation of information -- 3.7 Characterization of the families of fuzzy sets -- 3.8 Fuzzy sets, sets, and the representation theorem -- 3.9 Conclusions -- Exercises and problems -- Historical notes -- References -- 4 The Design of Fuzzy Sets -- 4.1 Semantics of fuzzy sets: some general observations -- 4.2 Fuzzy set as a descriptor of feasible solutions -- 4.3 Fuzzy set as a descriptor of the notion of typicality -- 4.4 Membership functions in the visualization of preferences of solutions -- 4.5 Nonlinear transformation of fuzzy sets -- 4.6 Vertical and horizontal schemes of membership estimation -- 4.7 Saaty's priority method of pairwise membership function estimation -- 4.8 Fuzzy sets as granular representatives of numeric data -- 4.9 From numeric data to fuzzy sets -- 4.10 Fuzzy equalization -- 4.11 Linguistic approximation.
4.12 Design guidelines for the construction of fuzzy sets -- 4.13 Conclusions -- Exercises and problems -- Historical notes -- References -- 5 Operations and Aggregations of Fuzzy Sets -- 5.1 Standard operations on sets and fuzzy sets -- 5.2 Generic requirements for operations on fuzzy sets -- 5.3 Triangular norms -- 5.4 Triangular conorms -- 5.5 Triangular norms as a general category of logical operators -- 5.6 Aggregation operations -- 5.7 Fuzzy measure and integral -- 5.8 Negations -- 5.9 Conclusions -- Exercises and problems -- Historical notes -- References -- 6 Fuzzy Relations -- 6.1 The concept of relations -- 6.2 Fuzzy relations -- 6.3 Properties of the fuzzy relations -- 6.4 Operations on fuzzy relations -- 6.5 Cartesian product, projections and cylindrical extension of fuzzy sets -- 6.6 Reconstruction of fuzzy relations -- 6.7 Binary fuzzy relations -- 6.8 Conclusions -- Exercises and problems -- Historical notes -- References -- 7 Transformations of Fuzzy Sets -- 7.1 The extension principle -- 7.2 Compositions of fuzzy relations -- 7.3 Fuzzy relational equations -- 7.4 Associative Memories -- 7.5 Fuzzy numbers and fuzzy arithmetic -- 7.6 Conclusions -- Exercises and problems -- Historical notes -- References -- 8 Generalizations and Extensions of Fuzzy Sets -- 8.1 Fuzzy sets of higher order -- 8.2 Rough fuzzy sets and fuzzy rough sets -- 8.3 Interval-valued fuzzy sets -- 8.4 Type-2 fuzzy sets -- 8.5 Shadowed sets as a three-valued logic characterization of fuzzy sets -- 8.6 Probability and fuzzy sets -- 8.7 Probability of fuzzy events -- 8.8 Conclusions -- Exercises and problems -- Historical notes -- References -- 9 Interoperability Aspects of Fuzzy Sets -- 9.1 Fuzzy set and its family of s-cuts -- 9.2 Fuzzy sets and their interfacing with the external world -- 9.3 Encoding and decoding as an optimization problem of vector quantization -- 9.4 Decoding of a fuzzy set through a family of fuzzy sets. 9.5 Taxonomy of data in structure description with shadowed sets -- 9.6 Conclusions -- Exercises and problems -- Historical notes -- References -- 10. Fuzzy Modeling: Principles and Methodology -- 10.1 The architectural blueprint of fuzzy models -- 10.2 Key phases of the development and use of fuzzy models -- 10.3 Main categories of fuzzy models: an overview -- 10.4 Verification and validation of fuzzy models -- 10.5 Conclusions -- Exercises and problems -- Historical notes -- References -- 11 Rule-based Fuzzy Models -- 11.1 Fuzzy rules as a vehicle of knowledge representation -- 11.2 General categories of fuzzy rules and their semantics -- 11.3 Syntax of fuzzy rules -- 11.4 Basic Functional Modules: Rule base, Database, and Inference scheme -- 11.5 Types of Rule-Based Systems and Architectures -- 11.6 Approximation properties of fuzzy rule-based models -- 11.7 Development of Rule-Based Systems -- 11.8 Parameter estimation procedure for functional rule-based systems -- 11.9 Design issues of rule-based systems - consistency, completeness, and the curse of dimensionality -- 11.10 The curse of dimensionality in rule-based systems -- 11.11 Development scheme of fuzzy rule-based models -- 11.12 Conclusions -- Exercises and problems -- Historical notes -- References -- 12 From Logic Expressions to Fuzzy Logic Networks -- 12.1 Introduction -- 12.2 Main categories of fuzzy neurons -- 12.3 Uninorm-based fuzzy neurons -- 12.4 Architectures of logic networks -- 12.5 The development mechanisms of the fuzzy neural networks -- 12.6 Interpretation of the fuzzy neural networks -- 12.7 From fuzzy logic networks to Boolean functions and their minimization through learning -- 12.8 Interfacing the fuzzy neural network -- 12.9 Interpretation aspects - a refinement of induced rule-based system -- 12.10 Reconciliation of perception of information granules and granular mappings -- 12.11 Conclusions -- Exercises and problems -- Historical notes. References -- 13. Fuzzy Systems and Computational Intelligence -- 13.1 Computational Intelligence -- 13.2 Recurrent neurofuzzy systems -- 13.3 Genetic fuzzy systems -- 13.4 Coevolutionary hierarchical genetic fuzzy system -- 13.5 Hierarchical collaborative relations -- 13.6 Evolving fuzzy systems -- 13.7 Conclusions -- Exercises and problems -- Historical notes -- References -- 14. Granular Models and Human Centric Computing -- 14.1 The cluster-based representation of the input - output mappings -- 14.2 Context-based clustering in the development of granular models -- 14.3 Granular neuron as a generic processing element in granular networks -- 14.4 Architecture of granular models based on conditional fuzzy clustering -- 14.5 Refinements of granular models -- 14.6 Incremental granular models -- 14.7 Human-centric fuzzy clustering -- 14.8 Participatory learning in fuzzy clustering -- 14.9 Conclusions -- Exercises and problems -- Historical notes -- References -- 15. Emerging Trends in Fuzzy Systems -- 15.1 Relational ontology in information retrieval -- 15.2 Multiagent fuzzy systems -- 15.3 Distributed fuzzy control -- 15.4 Conclusions -- Exercises and problems -- Historical notes -- References -- Appendix A: Mathematical Prerequisites -- Appendix B: Neurocomputing -- Appendix C: Biologically Inspired Optimization -- Index. |
| Record Nr. | UNINA-9910830241003321 |
|
Pedrycz Witold <1953->
|
||
| Hoboken, New Jersey : , : John Wiley : , c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An introduction to network modeling and simulation for the practicing engineer / / Jack Burbank, William Kasch, Jon Ward
| An introduction to network modeling and simulation for the practicing engineer / / Jack Burbank, William Kasch, Jon Ward |
| Autore | Burbank Jack |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Picataway : , : IEEE Press, , c2011 |
| Descrizione fisica | 1 online resource (217 p.) |
| Disciplina |
620.00113
620.0042 |
| Altri autori (Persone) |
WardJon
KaschWilliam |
| Collana | The comsoc guides to communications technologies |
| Soggetto topico |
Communication and technology
Simulation methods |
| ISBN |
1-283-23977-9
9786613239778 1-118-06364-3 1-118-06363-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling and Simulation for RF Propagation -- Physical Layer Modeling and Simulation -- Medium Access Control Modeling and Simulation -- Modeling and Simulation for Higher Layer Protocols -- Hardware-in-the-Loop Simulations -- Complete Network Modeling and Simulation -- Other Vital Aspects of Successful Network Modeling and Simulation -- Network Modeling and Simulation: Summary. |
| Record Nr. | UNINA-9910139610003321 |
|
Burbank Jack
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||
| Picataway : , : IEEE Press, , c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An introduction to network modeling and simulation for the practicing engineer / / Jack Burbank, William Kasch, Jon Ward
| An introduction to network modeling and simulation for the practicing engineer / / Jack Burbank, William Kasch, Jon Ward |
| Autore | Burbank Jack |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Picataway : , : IEEE Press, , c2011 |
| Descrizione fisica | 1 online resource (217 p.) |
| Disciplina |
620.00113
620.0042 |
| Altri autori (Persone) |
WardJon
KaschWilliam |
| Collana | The comsoc guides to communications technologies |
| Soggetto topico |
Communication and technology
Simulation methods |
| ISBN |
1-283-23977-9
9786613239778 1-118-06364-3 1-118-06363-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling and Simulation for RF Propagation -- Physical Layer Modeling and Simulation -- Medium Access Control Modeling and Simulation -- Modeling and Simulation for Higher Layer Protocols -- Hardware-in-the-Loop Simulations -- Complete Network Modeling and Simulation -- Other Vital Aspects of Successful Network Modeling and Simulation -- Network Modeling and Simulation: Summary. |
| Record Nr. | UNISA-996204095203316 |
|
Burbank Jack
|
||
| Picataway : , : IEEE Press, , c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
An introduction to network modeling and simulation for the practicing engineer / / Jack Burbank, William Kasch, Jon Ward
| An introduction to network modeling and simulation for the practicing engineer / / Jack Burbank, William Kasch, Jon Ward |
| Autore | Burbank Jack |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Picataway : , : IEEE Press, , c2011 |
| Descrizione fisica | 1 online resource (217 p.) |
| Disciplina |
620.00113
620.0042 |
| Altri autori (Persone) |
WardJon
KaschWilliam |
| Collana | The comsoc guides to communications technologies |
| Soggetto topico |
Communication and technology
Simulation methods |
| ISBN |
1-283-23977-9
9786613239778 1-118-06364-3 1-118-06363-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling and Simulation for RF Propagation -- Physical Layer Modeling and Simulation -- Medium Access Control Modeling and Simulation -- Modeling and Simulation for Higher Layer Protocols -- Hardware-in-the-Loop Simulations -- Complete Network Modeling and Simulation -- Other Vital Aspects of Successful Network Modeling and Simulation -- Network Modeling and Simulation: Summary. |
| Record Nr. | UNINA-9910830935403321 |
|
Burbank Jack
|
||
| Picataway : , : IEEE Press, , c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Nonlinear data assimilation [[electronic resource] /] / by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich
| Nonlinear data assimilation [[electronic resource] /] / by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich |
| Autore | Van Leeuwen Peter Jan |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (130 p.) |
| Disciplina | 620.00113 |
| Collana | Frontiers in Applied Dynamical Systems: Reviews and Tutorials |
| Soggetto topico |
Dynamics
Ergodic theory Computer mathematics Mathematical physics Dynamical Systems and Ergodic Theory Computational Mathematics and Numerical Analysis Mathematical Applications in the Physical Sciences |
| ISBN | 3-319-18347-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface to the Series; Preface; Contents; 1 Nonlinear Data Assimilation for high-dimensional systems; 1 Introduction; 1.1 What is data assimilation?; 1.2 How do inverse methods fit in?; 1.3 Issues in geophysical systems and popular present-day data-assimilation methods; 1.4 Potential nonlinear data-assimilation methods for geophysical systems; 1.5 Organisation of this paper; 2 Nonlinear data-assimilation methods; 2.1 The Gibbs sampler; 2.2 Metropolis-Hastings sampling; 2.2.1 Crank-Nicolson Metropolis Hastings; 2.3 Hybrid Monte-Carlo Sampling; 2.3.1 Dynamical systems; 2.3.2 Hybrid Monte-Carlo
2.4 Langevin Monte-Carlo Sampling2.5 Discussion and preview; 3 A simple Particle filter based on Importance Sampling; 3.1 Importance Sampling; 3.2 Basic Importance Sampling; 4 Reducing the variance in the weights; 4.1 Resampling; 4.2 The Auxiliary Particle Filter; 4.3 Localisation in particle filters; 5 Proposal densities; 5.1 Proposal densities: theory; 5.2 Moving particles at observation time; 5.2.1 The Ensemble Kalman Filter; 5.2.2 The Ensemble Kalman Filter as proposal density; 6 Changing the model equations; 6.1 The `Optimal' proposal density; 6.2 The Implicit Particle Filter 6.3 Variational methods as proposal densities6.3.1 4DVar as stand-alone method; 6.3.2 What does 4Dvar actually calculate?; 6.3.3 4DVar in a proposal density; 6.4 The Equivalent-Weights Particle Filter; 6.4.1 Convergence of the EWPF; 6.4.2 Simple implementations for high-dimensional systems; 6.4.3 Comparison of nonlinear data assimilation methods; 7 Conclusions; References; 2 Assimilating data into scientific models: An optimal coupling perspective; 1 Introduction; 2 Data assimilation and Feynman-Kac formula; 3 Monte Carlo methods in path space; 3.1 Ensemble prediction and importance sampling 3.2 Markov chain Monte Carlo (MCMC) methods4 McKean optimal transportation approach; 5 Linear ensemble transform methods; 5.1 Sequential Monte Carlo methods (SMCMs); 5.2 Ensemble Kalman filter (EnKF); 5.3 Ensemble transform particle filter (ETPF); 5.4 Quasi-Monte Carlo (QMC) convergence; 6 Spatially extended dynamical systems and localization; 7 Applications; 7.1 Lorenz-63 model; 7.2 Lorenz-96 model; 8 Historical comments; 9 Summary and Outlook; References |
| Record Nr. | UNINA-9910299762203321 |
|
Van Leeuwen Peter Jan
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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