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Uncertainty and information : foundations of generalized information theory / / George J. Klir
Uncertainty and information : foundations of generalized information theory / / George J. Klir
Autore Klir George J. <1932->
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley-Interscience, , c2006
Descrizione fisica 1 online resource (519 p.)
Disciplina 003.54
003/.54
Soggetto topico Uncertainty (Information theory)
Fuzzy systems
ISBN 1-280-24298-1
9786610242986
0-470-31574-1
0-471-75557-5
0-471-75556-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Acknowledgments -- 1 Introduction -- 1.1. Uncertainty and Its Significance -- 1.2. Uncertainty-Based Information -- 1.3. Generalized Information Theory -- 1.4. Relevant Terminology and Notation -- 1.5. An Outline of the Book -- Notes -- Exercises -- 2 Classical Possibility-Based Uncertainty Theory -- 2.1. Possibility and Necessity Functions -- 2.2. Hartley Measure of Uncertainty for Finite Sets -- 2.2.1. Simple Derivation of the Hartley Measure -- 2.2.2. Uniqueness of the Hartley Measure -- 2.2.3. Basic Properties of the Hartley Measure -- 2.2.4. Examples -- 2.3. Hartley-Like Measure of Uncertainty for Infinite Sets -- 2.3.1. Definition -- 2.3.2. Required Properties -- 2.3.3. Examples -- Notes -- Exercises -- 3 Classical Probability-Based Uncertainty Theory -- 3.1. Probability Functions -- 3.1.1. Functions on Finite Sets -- 3.1.2. Functions on Infinite Sets -- 3.1.3. Bayes' Theorem -- 3.2. Shannon Measure of Uncertainty for Finite Sets -- 3.2.1. Simple Derivation of the Shannon Entropy -- 3.2.2. Uniqueness of the Shannon Entropy -- 3.2.3. Basic Properties of the Shannon Entropy -- 3.2.4. Examples -- 3.3. Shannon-Like Measure of Uncertainty for Infinite Sets -- Notes -- Exercises -- 4 Generalized Measures and Imprecise Probabilities -- 4.1. Monotone Measures -- 4.2. Choquet Capacities -- 4.2.1. Mbius Representation -- 4.3. Imprecise Probabilities: General Principles -- 4.3.1. Lower and Upper Probabilities -- 4.3.2. Alternating Choquet Capacities -- 4.3.3. Interaction Representation -- 4.3.4. Mbius Representation -- 4.3.5. Joint and Marginal Imprecise Probabilities -- 4.3.6. Conditional Imprecise Probabilities -- 4.3.7. Noninteraction of Imprecise Probabilities -- 4.4. Arguments for Imprecise Probabilities -- 4.5. Choquet Integral -- 4.6. Unifying Features of Imprecise Probabilities -- Notes -- Exercises -- 5 Special Theories of Imprecise Probabilities -- 5.1. An Overview -- 5.2. Graded Possibilities -- 5.2.1. Mbius Representation -- 5.2.2. Ordering of Possibility Profiles.
5.2.3. Joint and Marginal Possibilities -- 5.2.4. Conditional Possibilities -- 5.2.5. Possibilities on Infinite Sets -- 5.2.6. Some Interpretations of Graded Possibilities -- 5.3. Sugeno l-Measures -- 5.3.1. Mbius Representation -- 5.4. Belief and Plausibility Measures -- 5.4.1. Joint and Marginal Bodies of Evidence -- 5.4.2. Rules of Combination -- 5.4.3. Special Classes of Bodies of Evidence -- 5.5. Reachable Interval-Valued Probability Distributions -- 5.5.1. Joint and Marginal Interval-Valued Probability Distributions -- 5.6. Other Types of Monotone Measures -- Notes -- Exercises -- 6 Measures of Uncertainty and Information -- 6.1. General Discussion -- 6.2. Generalized Hartley Measure for Graded Possibilities -- 6.2.1. Joint and Marginal U-Uncertainties -- 6.2.2. Conditional U-Uncertainty -- 6.2.3. Axiomatic Requirements for the U-Uncertainty -- 6.2.4. U-Uncertainty for Infinite Sets -- 6.3. Generalized Hartley Measure in Dempster-Shafer Theory -- 6.3.1. Joint and Marginal Generalized Hartley Measures -- 6.3.2. Monotonicity of the Generalized Hartley Measure -- 6.3.3. Conditional Generalized Hartley Measures -- 6.4. Generalized Hartley Measure for Convex Sets of Probability Distributions -- 6.5. Generalized Shannon Measure in Dempster-Shafer Theory -- 6.6. Aggregate Uncertainty in Dempster-Shafer Theory -- 6.6.1. General Algorithm for Computing the Aggregate Uncertainty -- 6.6.2. Computing the Aggregated Uncertainty in Possibility Theory -- 6.7. Aggregate Uncertainty for Convex Sets of Probability Distributions -- 6.8. Disaggregated Total Uncertainty -- 6.9. Generalized Shannon Entropy -- 6.10. Alternative View of Disaggregated Total Uncertainty -- 6.11. Unifying Features of Uncertainty Measures -- Notes -- Exercises -- 7 Fuzzy Set Theory -- 7.1. An Overview -- 7.2. Basic Concepts of Standard Fuzzy Sets -- 7.3. Operations on Standard Fuzzy Sets -- 7.3.1. Complementation Operations -- 7.3.2. Intersection and Union Operations -- 7.3.3. Combinations of Basic Operations.
7.3.4. Other Operations -- 7.4. Fuzzy Numbers and Intervals -- 7.4.1. Standard Fuzzy Arithmetic -- 7.4.2. Constrained Fuzzy Arithmetic -- 7.5. Fuzzy Relations -- 7.5.1. Projections and Cylindric Extensions -- 7.5.2. Compositions, Joins, and Inverses -- 7.6. Fuzzy Logic -- 7.6.1. Fuzzy Propositions -- 7.6.2. Approximate Reasoning -- 7.7. Fuzzy Systems -- 7.7.1. Granulation -- 7.7.2. Types of Fuzzy Systems -- 7.7.3. Defuzzification -- 7.8. Nonstandard Fuzzy Sets -- 7.9. Constructing Fuzzy Sets and Operations -- Notes -- Exercises -- 8 Fuzzification of Uncertainty Theories -- 8.1. Aspects of Fuzzification -- 8.2. Measures of Fuzziness -- 8.3. Fuzzy-Set Interpretation of Possibility Theory -- 8.4. Probabilities of Fuzzy Events -- 8.5. Fuzzification of Reachable Interval-Valued Probability Distributions -- 8.6. Other Fuzzification Efforts -- Notes -- Exercises -- 9 Methodological Issues -- 9.1. An Overview -- 9.2. Principle of Minimum Uncertainty -- 9.2.1. Simplification Problems -- 9.2.2. Conflict-Resolution Problems -- 9.3. Principle of Maximum Uncertainty -- 9.3.1. Principle of Maximum Entropy -- 9.3.2. Principle of Maximum Nonspecificity -- 9.3.3. Principle of Maximum Uncertainty in GIT -- 9.4. Principle of Requisite Generalization -- 9.5. Principle of Uncertainty Invariance -- 9.5.1. Computationally Simple Approximations -- 9.5.2. Probability-Possibility Transformations -- 9.5.3. Approximations of Belief Functions by Necessity Functions -- 9.5.4. Transformations Between l-Measures and Possibility Measures -- 9.5.5. Approximations of Graded Possibilities by Crisp Possibilities -- Notes -- Exercises -- 10 Conclusions -- 10.1. Summary and Assessment of Results in Generalized Information Theory -- 10.2. Main Issues of Current Interest -- 10.3. Long-Term Research Areas -- 10.4. Significance of GIT -- Notes -- Appendix A Uniqueness of the U-Uncertainty -- Appendix B Uniqueness of Generalized Hartley Measure in the Dempster-Shafer Theory -- Appendix C Correctness of Algorithm 6.1.
Appendix D Proper Range of GeneralizedShannon Entropy -- Appendix E Maximum of GSa in Section 6.9 -- Appendix F Glossary of Key Concepts -- Appendix G Glossary of Symbols -- Bibliography -- Subject Index -- Name Index.
Record Nr. UNISA-996202351503316
Klir George J. <1932->  
Hoboken, New Jersey : , : Wiley-Interscience, , c2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Uncertainty and information : foundations of generalized information theory / / George J. Klir
Uncertainty and information : foundations of generalized information theory / / George J. Klir
Autore Klir George J. <1932->
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley-Interscience, , c2006
Descrizione fisica 1 online resource (519 p.)
Disciplina 003.54
003/.54
Soggetto topico Uncertainty (Information theory)
Fuzzy systems
ISBN 1-280-24298-1
9786610242986
0-470-31574-1
0-471-75557-5
0-471-75556-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Acknowledgments -- 1 Introduction -- 1.1. Uncertainty and Its Significance -- 1.2. Uncertainty-Based Information -- 1.3. Generalized Information Theory -- 1.4. Relevant Terminology and Notation -- 1.5. An Outline of the Book -- Notes -- Exercises -- 2 Classical Possibility-Based Uncertainty Theory -- 2.1. Possibility and Necessity Functions -- 2.2. Hartley Measure of Uncertainty for Finite Sets -- 2.2.1. Simple Derivation of the Hartley Measure -- 2.2.2. Uniqueness of the Hartley Measure -- 2.2.3. Basic Properties of the Hartley Measure -- 2.2.4. Examples -- 2.3. Hartley-Like Measure of Uncertainty for Infinite Sets -- 2.3.1. Definition -- 2.3.2. Required Properties -- 2.3.3. Examples -- Notes -- Exercises -- 3 Classical Probability-Based Uncertainty Theory -- 3.1. Probability Functions -- 3.1.1. Functions on Finite Sets -- 3.1.2. Functions on Infinite Sets -- 3.1.3. Bayes' Theorem -- 3.2. Shannon Measure of Uncertainty for Finite Sets -- 3.2.1. Simple Derivation of the Shannon Entropy -- 3.2.2. Uniqueness of the Shannon Entropy -- 3.2.3. Basic Properties of the Shannon Entropy -- 3.2.4. Examples -- 3.3. Shannon-Like Measure of Uncertainty for Infinite Sets -- Notes -- Exercises -- 4 Generalized Measures and Imprecise Probabilities -- 4.1. Monotone Measures -- 4.2. Choquet Capacities -- 4.2.1. Mbius Representation -- 4.3. Imprecise Probabilities: General Principles -- 4.3.1. Lower and Upper Probabilities -- 4.3.2. Alternating Choquet Capacities -- 4.3.3. Interaction Representation -- 4.3.4. Mbius Representation -- 4.3.5. Joint and Marginal Imprecise Probabilities -- 4.3.6. Conditional Imprecise Probabilities -- 4.3.7. Noninteraction of Imprecise Probabilities -- 4.4. Arguments for Imprecise Probabilities -- 4.5. Choquet Integral -- 4.6. Unifying Features of Imprecise Probabilities -- Notes -- Exercises -- 5 Special Theories of Imprecise Probabilities -- 5.1. An Overview -- 5.2. Graded Possibilities -- 5.2.1. Mbius Representation -- 5.2.2. Ordering of Possibility Profiles.
5.2.3. Joint and Marginal Possibilities -- 5.2.4. Conditional Possibilities -- 5.2.5. Possibilities on Infinite Sets -- 5.2.6. Some Interpretations of Graded Possibilities -- 5.3. Sugeno l-Measures -- 5.3.1. Mbius Representation -- 5.4. Belief and Plausibility Measures -- 5.4.1. Joint and Marginal Bodies of Evidence -- 5.4.2. Rules of Combination -- 5.4.3. Special Classes of Bodies of Evidence -- 5.5. Reachable Interval-Valued Probability Distributions -- 5.5.1. Joint and Marginal Interval-Valued Probability Distributions -- 5.6. Other Types of Monotone Measures -- Notes -- Exercises -- 6 Measures of Uncertainty and Information -- 6.1. General Discussion -- 6.2. Generalized Hartley Measure for Graded Possibilities -- 6.2.1. Joint and Marginal U-Uncertainties -- 6.2.2. Conditional U-Uncertainty -- 6.2.3. Axiomatic Requirements for the U-Uncertainty -- 6.2.4. U-Uncertainty for Infinite Sets -- 6.3. Generalized Hartley Measure in Dempster-Shafer Theory -- 6.3.1. Joint and Marginal Generalized Hartley Measures -- 6.3.2. Monotonicity of the Generalized Hartley Measure -- 6.3.3. Conditional Generalized Hartley Measures -- 6.4. Generalized Hartley Measure for Convex Sets of Probability Distributions -- 6.5. Generalized Shannon Measure in Dempster-Shafer Theory -- 6.6. Aggregate Uncertainty in Dempster-Shafer Theory -- 6.6.1. General Algorithm for Computing the Aggregate Uncertainty -- 6.6.2. Computing the Aggregated Uncertainty in Possibility Theory -- 6.7. Aggregate Uncertainty for Convex Sets of Probability Distributions -- 6.8. Disaggregated Total Uncertainty -- 6.9. Generalized Shannon Entropy -- 6.10. Alternative View of Disaggregated Total Uncertainty -- 6.11. Unifying Features of Uncertainty Measures -- Notes -- Exercises -- 7 Fuzzy Set Theory -- 7.1. An Overview -- 7.2. Basic Concepts of Standard Fuzzy Sets -- 7.3. Operations on Standard Fuzzy Sets -- 7.3.1. Complementation Operations -- 7.3.2. Intersection and Union Operations -- 7.3.3. Combinations of Basic Operations.
7.3.4. Other Operations -- 7.4. Fuzzy Numbers and Intervals -- 7.4.1. Standard Fuzzy Arithmetic -- 7.4.2. Constrained Fuzzy Arithmetic -- 7.5. Fuzzy Relations -- 7.5.1. Projections and Cylindric Extensions -- 7.5.2. Compositions, Joins, and Inverses -- 7.6. Fuzzy Logic -- 7.6.1. Fuzzy Propositions -- 7.6.2. Approximate Reasoning -- 7.7. Fuzzy Systems -- 7.7.1. Granulation -- 7.7.2. Types of Fuzzy Systems -- 7.7.3. Defuzzification -- 7.8. Nonstandard Fuzzy Sets -- 7.9. Constructing Fuzzy Sets and Operations -- Notes -- Exercises -- 8 Fuzzification of Uncertainty Theories -- 8.1. Aspects of Fuzzification -- 8.2. Measures of Fuzziness -- 8.3. Fuzzy-Set Interpretation of Possibility Theory -- 8.4. Probabilities of Fuzzy Events -- 8.5. Fuzzification of Reachable Interval-Valued Probability Distributions -- 8.6. Other Fuzzification Efforts -- Notes -- Exercises -- 9 Methodological Issues -- 9.1. An Overview -- 9.2. Principle of Minimum Uncertainty -- 9.2.1. Simplification Problems -- 9.2.2. Conflict-Resolution Problems -- 9.3. Principle of Maximum Uncertainty -- 9.3.1. Principle of Maximum Entropy -- 9.3.2. Principle of Maximum Nonspecificity -- 9.3.3. Principle of Maximum Uncertainty in GIT -- 9.4. Principle of Requisite Generalization -- 9.5. Principle of Uncertainty Invariance -- 9.5.1. Computationally Simple Approximations -- 9.5.2. Probability-Possibility Transformations -- 9.5.3. Approximations of Belief Functions by Necessity Functions -- 9.5.4. Transformations Between l-Measures and Possibility Measures -- 9.5.5. Approximations of Graded Possibilities by Crisp Possibilities -- Notes -- Exercises -- 10 Conclusions -- 10.1. Summary and Assessment of Results in Generalized Information Theory -- 10.2. Main Issues of Current Interest -- 10.3. Long-Term Research Areas -- 10.4. Significance of GIT -- Notes -- Appendix A Uniqueness of the U-Uncertainty -- Appendix B Uniqueness of Generalized Hartley Measure in the Dempster-Shafer Theory -- Appendix C Correctness of Algorithm 6.1.
Appendix D Proper Range of GeneralizedShannon Entropy -- Appendix E Maximum of GSa in Section 6.9 -- Appendix F Glossary of Key Concepts -- Appendix G Glossary of Symbols -- Bibliography -- Subject Index -- Name Index.
Record Nr. UNINA-9910830850103321
Klir George J. <1932->  
Hoboken, New Jersey : , : Wiley-Interscience, , c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Uncertainty and optimization in structural mechanics / / Abdelkhalak El Hami, Radi Bouchaib
Uncertainty and optimization in structural mechanics / / Abdelkhalak El Hami, Radi Bouchaib
Autore El Hami Abdelkhalak
Pubbl/distr/stampa London : , : Wiley, , 2013
Descrizione fisica 1 online resource (145 pages)
Disciplina 624.17
Altri autori (Persone) BouchaibRadi
Collana FOCUS Series
Soggetto topico Structural analysis (Engineering)
Structural design
Structural optimization
Uncertainty (Information theory)
ISBN 1-118-71190-4
1-118-71183-1
1-299-47592-2
1-118-71180-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title Page; Contents; Preface; CHAPTER 1. UNCERTAINTY; 1.1. Introduction; 1.2. The optimization problem; 1.3. Sources of uncertainty; 1.4. Dealing with uncertainty; 1.4.1. Reliability optimization; 1.4.2. Robust optimization; 1.4.3. Multi-object optimization; 1.4.4. Stochastic optimization; 1.4.5. Worst-case scenario based optimization; 1.4.6. Non-probabilistic optimization; 1.4.7. Interval modeling; 1.4.8. Fuzzy sets; 1.5. Analyzing sensitivity; 1.5.1. Local sensitivity analysis; 1.5.2. Global sensitivity analysis; CHAPTER 2. RELIABILITY IN MECHANICAL SYSTEMS; 2.1. Introduction
2.2. A structure reliability problem; 2.3. Modeling a structure reliability problem; 2.3.1. A deterministic mechanical model; 2.3.2. Risks and probabilistic modeling; 2.3.3. Types of failure in a structure; 2.3.4. Probability of failure in a structure; 2.4. Calculating the probability of failure in a structure; 2.4.1. Calculating the probability of failure using the Monte Carlo method; 2.4.2. Calculating the probability of failure using a reliability index; 2.5. Reliability indices; 2.5.1. The Rjanitzyne-Cornell index; 2.5.2. The Hasofer-Lind index; 2.5.3. The FORM method
2.5.4. The SORM method; 2.6. Overview of the resistance-sollicitation problem; 2.6.1. Probability of failure; 2.6.2. Reliability indices; 2.7. System reliability in mechanics; 2.7.1. Combinations of types of failure; 2.7.2. Assessment of the failure probability of a system; 2.8. The finite element method and structural reliability; 2.8.1. Context and objectives of the problem; 2.8.2. Discretization and modeling random fields; 2.8.3. Mechano-reliability coupling; 2.8.4. Surface response coupling; CHAPTER 3. OPTIMAL STRUCTURAL DESIGN; 3.1. Introduction
3.2. Historical development of structural optimization; 3.3. Classifying structural optimization problems; 3.3.1. Dimensional optimization; 3.3.2. Topological optimization; 3.3.3. Shape optimization; CHAPTER 4. MULTI-OBJECT OPTIMIZATION WITH UNCERTAINTY; 4.1. Introduction; 4.1.1. Choice of an optimization method; 4.1.2. Classifying optimization methods; 4.2. User classification; 4.3. Design classification; 4.4. Multi-objective genetic algorithms; 4.5. Robust multi-objective optimization; 4.5.1. Robustness criteria in multi-objective optimization; 4.6. Normal boundary intersection method
4.6.1. Description of the NBI method; 4.7. Multi-objective structural optimization problem; CHAPTER 5. ROBUST OPTIMIZATION; 5.1. Introduction; 5.2. Modeling uncertainty; 5.2.1. Parametric methods; 5.2.2. Non-parametric methods; 5.3. Accounting for robustness in optimum research; 5.4. Robustness criteria; 5.4.1. Defining uncertainty in design parameters; 5.4.2. Robustness criteria in multi-objective optimization; 5.5. Resolution method; 5.6. Examples of mono-objective optimization; CHAPTER 6. RELIABILITY OPTIMIZATION; 6.1. Introduction; 6.2. Overview of reliability optimization; 6.3. Reliability optimization methods
Record Nr. UNINA-9910138861503321
El Hami Abdelkhalak  
London : , : Wiley, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Uncertainty and optimization in structural mechanics / / Abdelkhalak El Hami, Radi Bouchaib
Uncertainty and optimization in structural mechanics / / Abdelkhalak El Hami, Radi Bouchaib
Autore El Hami Abdelkhalak
Edizione [1st ed.]
Pubbl/distr/stampa London : , : Wiley, , 2013
Descrizione fisica 1 online resource (145 pages)
Disciplina 624.17
Altri autori (Persone) BouchaibRadi
Collana FOCUS Series
Soggetto topico Structural analysis (Engineering)
Structural design
Structural optimization
Uncertainty (Information theory)
ISBN 1-118-71190-4
1-118-71183-1
1-299-47592-2
1-118-71180-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title Page; Contents; Preface; CHAPTER 1. UNCERTAINTY; 1.1. Introduction; 1.2. The optimization problem; 1.3. Sources of uncertainty; 1.4. Dealing with uncertainty; 1.4.1. Reliability optimization; 1.4.2. Robust optimization; 1.4.3. Multi-object optimization; 1.4.4. Stochastic optimization; 1.4.5. Worst-case scenario based optimization; 1.4.6. Non-probabilistic optimization; 1.4.7. Interval modeling; 1.4.8. Fuzzy sets; 1.5. Analyzing sensitivity; 1.5.1. Local sensitivity analysis; 1.5.2. Global sensitivity analysis; CHAPTER 2. RELIABILITY IN MECHANICAL SYSTEMS; 2.1. Introduction
2.2. A structure reliability problem; 2.3. Modeling a structure reliability problem; 2.3.1. A deterministic mechanical model; 2.3.2. Risks and probabilistic modeling; 2.3.3. Types of failure in a structure; 2.3.4. Probability of failure in a structure; 2.4. Calculating the probability of failure in a structure; 2.4.1. Calculating the probability of failure using the Monte Carlo method; 2.4.2. Calculating the probability of failure using a reliability index; 2.5. Reliability indices; 2.5.1. The Rjanitzyne-Cornell index; 2.5.2. The Hasofer-Lind index; 2.5.3. The FORM method
2.5.4. The SORM method; 2.6. Overview of the resistance-sollicitation problem; 2.6.1. Probability of failure; 2.6.2. Reliability indices; 2.7. System reliability in mechanics; 2.7.1. Combinations of types of failure; 2.7.2. Assessment of the failure probability of a system; 2.8. The finite element method and structural reliability; 2.8.1. Context and objectives of the problem; 2.8.2. Discretization and modeling random fields; 2.8.3. Mechano-reliability coupling; 2.8.4. Surface response coupling; CHAPTER 3. OPTIMAL STRUCTURAL DESIGN; 3.1. Introduction
3.2. Historical development of structural optimization; 3.3. Classifying structural optimization problems; 3.3.1. Dimensional optimization; 3.3.2. Topological optimization; 3.3.3. Shape optimization; CHAPTER 4. MULTI-OBJECT OPTIMIZATION WITH UNCERTAINTY; 4.1. Introduction; 4.1.1. Choice of an optimization method; 4.1.2. Classifying optimization methods; 4.2. User classification; 4.3. Design classification; 4.4. Multi-objective genetic algorithms; 4.5. Robust multi-objective optimization; 4.5.1. Robustness criteria in multi-objective optimization; 4.6. Normal boundary intersection method
4.6.1. Description of the NBI method; 4.7. Multi-objective structural optimization problem; CHAPTER 5. ROBUST OPTIMIZATION; 5.1. Introduction; 5.2. Modeling uncertainty; 5.2.1. Parametric methods; 5.2.2. Non-parametric methods; 5.3. Accounting for robustness in optimum research; 5.4. Robustness criteria; 5.4.1. Defining uncertainty in design parameters; 5.4.2. Robustness criteria in multi-objective optimization; 5.5. Resolution method; 5.6. Examples of mono-objective optimization; CHAPTER 6. RELIABILITY OPTIMIZATION; 6.1. Introduction; 6.2. Overview of reliability optimization; 6.3. Reliability optimization methods
Record Nr. UNINA-9910810147503321
El Hami Abdelkhalak  
London : , : Wiley, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Uncertainty deconstructed : a guidebook for decision support practitioners / / Bruce Garvey, Dowshan Humzah, Storm Le Roux
Uncertainty deconstructed : a guidebook for decision support practitioners / / Bruce Garvey, Dowshan Humzah, Storm Le Roux
Autore Garvey Bruce
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (316 pages)
Disciplina 658.403
Collana Science, Technology and Innovation Studies
Soggetto topico Decision making
Uncertainty (Information theory)
ISBN 3-031-08007-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910590057603321
Garvey Bruce  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Uncertainty in remote sensing and GIS [[electronic resource] /] / edited by Giles M. Foody and Peter M. Atkinson
Uncertainty in remote sensing and GIS [[electronic resource] /] / edited by Giles M. Foody and Peter M. Atkinson
Pubbl/distr/stampa Chichester ; ; Hoboken, NJ, : Wiley, c2002
Descrizione fisica 1 online resource (327 p.)
Disciplina 550.28
910/.285
Altri autori (Persone) FoodyGiles M
AtkinsonPeter M
Soggetto topico Remote sensing
Geographic information systems
Uncertainty (Information theory)
ISBN 1-280-27108-6
9786610271085
0-470-29911-8
0-470-03526-9
0-470-85924-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Uncertainty in Remote Sensing and GIS; Contents; List of Contributors; Foreword; Preface; 1 Uncertainty in Remote Sensing and GIS: Fundamentals; 2 Uncertainty in Remote Sensing; 3 Toward a Comprehensive View of Uncertainty in Remote Sensing Analysis; 4 On the Ambiguity Induced by a Remote Sensor's PSF; 5 Pixel Unmixing at the Sub-pixel Scale Based on Land Cover Class Probabilities: Application to Urban Areas; 6 Super-resolution Land Cover Mapping from Remotely Sensed Imagery using a Hopfield Neural Network
7 Uncertainty in Land Cover Mapping from Remotely Sensed Data using Textural Algorithm and Artificial Neural Networks8 Remote Monitoring of the Impact of ENSO-related Drought on Sabah Rainforest using NOAA AVHRR Middle Infrared Reflectance: Exploring Emissivity Uncertainty; 9 Land Cover Map 2000 and Meta-data at the Land Parcel Level; 10 Analysing Uncertainty Propagation in GIS: Why is it not that Simple?; 11 Managing Uncertainty in a Geospatial Model of Biodiversity
12 The Effects of Uncertainty in Deposition Data on Predicting Exceedances of Acidity Critical Loads for Sensitive UK Ecosystems13 Vertical and Horizontal Spatial Variation of Geostatistical Prediction; 14 Geostatistical Prediction and Simulation of the Lateral and Vertical Extent of Soil Horizons; 15 Increasing the Accuracy of Predictions of Monthly Precipitation in Great Britain using Kriging with an External Drift; 16 Conditional Simulation Applied to Uncertainty Assessment in DTMs; 17 Current Status of Uncertainty Issues in Remote Sensing and GIS; Index
Record Nr. UNINA-9910143171203321
Chichester ; ; Hoboken, NJ, : Wiley, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Uncertainty in remote sensing and GIS [[electronic resource] /] / edited by Giles M. Foody and Peter M. Atkinson
Uncertainty in remote sensing and GIS [[electronic resource] /] / edited by Giles M. Foody and Peter M. Atkinson
Pubbl/distr/stampa Chichester ; ; Hoboken, NJ, : Wiley, c2002
Descrizione fisica 1 online resource (327 p.)
Disciplina 550.28
910/.285
Altri autori (Persone) FoodyGiles M
AtkinsonPeter M
Soggetto topico Remote sensing
Geographic information systems
Uncertainty (Information theory)
ISBN 1-280-27108-6
9786610271085
0-470-29911-8
0-470-03526-9
0-470-85924-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Uncertainty in Remote Sensing and GIS; Contents; List of Contributors; Foreword; Preface; 1 Uncertainty in Remote Sensing and GIS: Fundamentals; 2 Uncertainty in Remote Sensing; 3 Toward a Comprehensive View of Uncertainty in Remote Sensing Analysis; 4 On the Ambiguity Induced by a Remote Sensor's PSF; 5 Pixel Unmixing at the Sub-pixel Scale Based on Land Cover Class Probabilities: Application to Urban Areas; 6 Super-resolution Land Cover Mapping from Remotely Sensed Imagery using a Hopfield Neural Network
7 Uncertainty in Land Cover Mapping from Remotely Sensed Data using Textural Algorithm and Artificial Neural Networks8 Remote Monitoring of the Impact of ENSO-related Drought on Sabah Rainforest using NOAA AVHRR Middle Infrared Reflectance: Exploring Emissivity Uncertainty; 9 Land Cover Map 2000 and Meta-data at the Land Parcel Level; 10 Analysing Uncertainty Propagation in GIS: Why is it not that Simple?; 11 Managing Uncertainty in a Geospatial Model of Biodiversity
12 The Effects of Uncertainty in Deposition Data on Predicting Exceedances of Acidity Critical Loads for Sensitive UK Ecosystems13 Vertical and Horizontal Spatial Variation of Geostatistical Prediction; 14 Geostatistical Prediction and Simulation of the Lateral and Vertical Extent of Soil Horizons; 15 Increasing the Accuracy of Predictions of Monthly Precipitation in Great Britain using Kriging with an External Drift; 16 Conditional Simulation Applied to Uncertainty Assessment in DTMs; 17 Current Status of Uncertainty Issues in Remote Sensing and GIS; Index
Record Nr. UNINA-9910830556503321
Chichester ; ; Hoboken, NJ, : Wiley, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Uncertainty in remote sensing and GIS [[electronic resource] /] / edited by Giles M. Foody and Peter M. Atkinson
Uncertainty in remote sensing and GIS [[electronic resource] /] / edited by Giles M. Foody and Peter M. Atkinson
Pubbl/distr/stampa Chichester ; ; Hoboken, NJ, : Wiley, c2002
Descrizione fisica 1 online resource (327 p.)
Disciplina 550.28
910/.285
Altri autori (Persone) FoodyGiles M
AtkinsonPeter M
Soggetto topico Remote sensing
Geographic information systems
Uncertainty (Information theory)
ISBN 1-280-27108-6
9786610271085
0-470-29911-8
0-470-03526-9
0-470-85924-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Uncertainty in Remote Sensing and GIS; Contents; List of Contributors; Foreword; Preface; 1 Uncertainty in Remote Sensing and GIS: Fundamentals; 2 Uncertainty in Remote Sensing; 3 Toward a Comprehensive View of Uncertainty in Remote Sensing Analysis; 4 On the Ambiguity Induced by a Remote Sensor's PSF; 5 Pixel Unmixing at the Sub-pixel Scale Based on Land Cover Class Probabilities: Application to Urban Areas; 6 Super-resolution Land Cover Mapping from Remotely Sensed Imagery using a Hopfield Neural Network
7 Uncertainty in Land Cover Mapping from Remotely Sensed Data using Textural Algorithm and Artificial Neural Networks8 Remote Monitoring of the Impact of ENSO-related Drought on Sabah Rainforest using NOAA AVHRR Middle Infrared Reflectance: Exploring Emissivity Uncertainty; 9 Land Cover Map 2000 and Meta-data at the Land Parcel Level; 10 Analysing Uncertainty Propagation in GIS: Why is it not that Simple?; 11 Managing Uncertainty in a Geospatial Model of Biodiversity
12 The Effects of Uncertainty in Deposition Data on Predicting Exceedances of Acidity Critical Loads for Sensitive UK Ecosystems13 Vertical and Horizontal Spatial Variation of Geostatistical Prediction; 14 Geostatistical Prediction and Simulation of the Lateral and Vertical Extent of Soil Horizons; 15 Increasing the Accuracy of Predictions of Monthly Precipitation in Great Britain using Kriging with an External Drift; 16 Conditional Simulation Applied to Uncertainty Assessment in DTMs; 17 Current Status of Uncertainty Issues in Remote Sensing and GIS; Index
Record Nr. UNINA-9910841078003321
Chichester ; ; Hoboken, NJ, : Wiley, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Value of information and flexibility : making decisions under uncertainties / / Gbenga F. Oluyemi and Martin J. Vilela
Value of information and flexibility : making decisions under uncertainties / / Gbenga F. Oluyemi and Martin J. Vilela
Autore Oluyemi Gbenga F.
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (295 pages)
Disciplina 658.403
Collana Petroleum Engineering
Soggetto topico Uncertainty (Information theory)
Decision making
ISBN 3-030-86989-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- List of Figures -- List of Tables -- 1 Decision-Making: Concepts, Principles, and Uncertainty -- 1.1 Introduction to Decisions -- 1.2 Overview of Decision Analysis -- 1.3 Uncertainty, Risk, Vagueness -- 1.4 Review of Methods for Decision-Making -- 1.5 Summary -- References -- 2 Utility Theory -- 2.1 Introduction to Utility Theory -- 2.2 Historical Development of the Utility Theory Concept -- 2.3 Risk Attitude -- 2.4 Positive Affine Transformation -- 2.5 Certainty Equivalent -- 2.6 Formulation of Utility Theory -- 2.7 Utility Theory: Decision Making Under Risk -- 2.8 Utility Theory: Decision Making Under Uncertainty -- 2.9 Bayesianism -- 2.10 Violation of Savage's Theory and Prospect Theory -- 2.11 Summary -- References -- 3 Probability and Inference Theory -- 3.1 Introduction to Probability -- 3.2 Operations with Probability -- 3.3 Population, Sample, Random Variables -- 3.4 Formulation of the Bayes Theorem and Its Meaning-The Value of Information -- 3.5 Sampling. Central Limit Theorem -- 3.6 Additional Probability Distributions -- 3.7 Statistical Inference -- 3.8 Summary -- Reference -- 4 Probabilistic Evaluation of Uncertainties: Monte Carlo Method -- 4.1 Introduction to Monte Carlo Simulation -- 4.2 Simple Monte Carlo Applications -- 4.3 Number of Monte Carlo Simulations -- 4.4 Monte Carlo Method Workflow -- 4.5 Another Sampling Technique: Latin Hypercube Sampling -- 4.6 Advantages and Disadvantages of Monte Carlo Simulation -- 4.7 Scope of Monte Carlo Simulation Applications -- 4.8 Summary -- References -- 5 Assessing the Importance of the Uncertainties: Design of Experiments -- 5.1 Introduction to Experimental Design -- 5.2 Background of Design of Experiments -- 5.3 Design of Experiments Methodology -- 5.4 One-Variable-At-a-Time Design -- 5.5 Randomised Complete Block Design.
5.6 Design of Experiments Workflow -- 5.7 Full Factorial Design -- 5.8 Summary -- References -- 6 Fuzzy Logic -- 6.1 Introduction to Fuzzy Logic -- 6.2 Classical Set Theory -- 6.3 Fuzzy Set Theory -- 6.4 Linguistic Variables -- 6.5 Membership Functions -- 6.6 Fuzzification Process -- 6.7 Defuzzification Process -- 6.8 Fuzzy Rules -- 6.9 Fuzzy Inference Systems -- 6.10 Fuzzy Applications -- 6.11 Summary -- Appendix -- References -- 7 Uncertainty, Data Acquisition and Value of Information Assessment -- 7.1 Introduction to the Value of Information -- 7.2 The Meaning of the Value of Information -- 7.3 The Formalism of the Value of Information -- 7.4 Value of Information -- 7.5 Value of Perfect Information -- 7.6 Value of Imperfect Information -- 7.7 Value of Fuzzy Information -- 7.8 Value of Information Applications in the Oil and Gas Industry -- 7.9 Sequential Data Acquisition -- 7.10 Summary -- References -- 8 The Value of Flexibility-Real Options -- 8.1 Introduction to the Value of Flexibility -- 8.2 A Brief Explanation of Valuation -- 8.3 Applying Real Options to Real Problems -- 8.4 Real Case Applications of Real Options-Flexibility -- 8.5 The Engineering Approach to Real Options Valuation -- 8.6 An Example of Flexibility in the Oil and Gas Industry -- 8.7 Summary -- References -- 9 Case Studies for the Value of Information and Flexibility in the Oil and Gas Industry -- 9.1 Examples of the Value of Information -- 9.2 Examples of the Value of Flexibility -- 9.3 Examples of the Value of Information with Statistical Analysis -- 9.4 Fuzzy Data Acquisition -- References.
Record Nr. UNINA-9910523725003321
Oluyemi Gbenga F.  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui