top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Changing models / Guido Antonio Rossi editor
Changing models / Guido Antonio Rossi editor
Pubbl/distr/stampa Torino, Italy : Levrotto & Bella, c2005
Descrizione fisica 185 p. : ill. ; 24 cm
Disciplina 658.403
Altri autori (Persone) Rossi, Guido Antonioauthor
Soggetto topico Decision making
Decision making - Mathematical models
Capital assets pricing model
ISBN 8882181189
Classificazione LC QA279.4.C53
AMS 91B14
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000980069707536
Torino, Italy : Levrotto & Bella, c2005
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Choice modeling [[electronic resource] ] : the state of the art and the state of practice ; proceedings from the Inaugural International Choice Modelling Conference / / edited by Stephane Hess
Choice modeling [[electronic resource] ] : the state of the art and the state of practice ; proceedings from the Inaugural International Choice Modelling Conference / / edited by Stephane Hess
Autore Stephane Hess
Pubbl/distr/stampa Bingley, : Emerald Group Publ, 2010
Descrizione fisica 1 online resource (638 p.)
Disciplina 330.015196
Altri autori (Persone) HessStephane
Collana Proceedings from the Inaugural International Choice Modelling Conference
Soggetto topico Decision making - Mathematical models
Choice (Psychology)
Soggetto genere / forma Electronic books.
ISBN 1-282-50008-2
9786612500084
1-84950-773-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front cover; Choice Modelling: The State-of-the-Art and the State-of-Practice; Copyright page; Contents; Biography; Editors; Guest Speakers; Other Authors; Editorial; Part I: Guest Speaker papers; Chapter 1. Sociality, Rationality, and the Ecology of Choice; Chapter 2. Planning and Action in a Model of Choice; Chapter 3. Attribute Processing, Heuristics and Preference Construction in Choice Analysis; Chapter 4 The Multiple Discrete-Continuous Extreme Value (MDCEV) Model: Formulation and Applications; Chapter 5. Capturing Human Perception of Facial Expressions by Discrete Choice Modelling
Part II: Data Collection Chapter 6. Serial Choice Conjoint Analysis for Estimating Discrete Choice Models; Chapter 7. Observed Efficiency of a D-Optimal Design in an Interactive Agency Choice Experiment; Chapter 8. Effects of Stated Choice Design Dimensions on Model Estimates; Chapter 9. Stated Choice Experimental Designs for Scheduling Models; Part III: Concepts and Methodology; Chapter 10. Systematically Heterogeneous Covariance in Network GEV Models; Chapter 11. On Estimation of Hybrid Choice Models; Chapter 12. A Model of Travel Happiness and Mode Switching
Chapter 13. On Path Generation Algorithms for Route Choice Models Part IV: Endogeneity and Heterogeneity; Chapter 14. Mode Choice Endogeneity in Value of Travel Time Estimation; Chapter 15. Accommodating Coefficient Outliers in Discrete Choice Modelling: A Comparison of Discrete and Continuous Mixing Approaches; Chapter 16 . Addressing Endogeneity in Discrete Choice Models: Assessing Control-Function and Latent-Variable Methods; Chapter 17. Latent Class and Mixed Logit Models with Endogenous Choice Set Formation Based on Compensatory Screening Rules; Part V: Transport Matters
Chapter 18. Transport Welfare Benefits in the Presence of an Income Effect Chapter 19. Which Commuters Will Car Share quest An Examination of Alternative Approaches to Identifying Market Segments; Chapter 20. Modelling Choice in a Changing Environment: Assessing the Shock Effects of a New Transport System; Chapter 21. What Do We Really Know About Travelers' Response to Unreliability quest; Part VI: Beyond Transport; Chapter 22. Optimizing Product Portfolios Using Discrete Choice Modeling and TURF
Chapter 23. Preference Stability: Modeling how Consumer Preferences Shift after Receiving New Product Information Chapter 24. Investigating Willingness to Pay-Willingness to Accept Asymmetry in Choice Experiments; Chapter 25. Clustering Ranked Preference Data Using Sociodemographic Covariates; Chapter 26. Continuous versus Discrete Representation of Investing Firm Heterogeneity in Modelling FDI Location Decisions; Chapter 27. Development of Integrated Choice and Latent Variable (ICLV) Models for the Residential Relocation Decision in Island Areas
Record Nr. UNINA-9910456363003321
Stephane Hess  
Bingley, : Emerald Group Publ, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Choice modelling [[electronic resource] ] : the state-of-the-art and the state-of-practice : proceedings from the inaugural International Choice Modelling Conference / / edited by Stephane Hess, Andrew Daly
Choice modelling [[electronic resource] ] : the state-of-the-art and the state-of-practice : proceedings from the inaugural International Choice Modelling Conference / / edited by Stephane Hess, Andrew Daly
Pubbl/distr/stampa Bingley, : Emerald Group Publ, 2010
Descrizione fisica 1 online resource (638 p.)
Disciplina 330.015196
Altri autori (Persone) HessStephane
DalyAndrew John
Collana Proceedings from the Inaugural International Choice Modelling Conference
Soggetto topico Transportation - General
Transport industries
Economics - Mathematical models
Decision making - Mathematical models
Transportation - Mathematical models
Choice of transportation - Mathematical models
ISBN 1-282-50008-2
9786612500084
1-84950-773-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Sociality, rationality, and the ecology of choice / Daniel McFadden -- Planning and action in a model of choice / Moshe Ben-Akiva -- Attribute processing, heuristics, and preference construction in choice analysis / David A. Hensher -- The multiple discrete-continuous extreme value (MDCEV) model : formulation and applications / Chandra R. Bhat, Naveen Eluru -- Capturing human perception of facial expressions by discrete choice modelling / Matteo Sorci ... [et al.] -- Serial choice conjoint analysis for estimating discrete choice models / Michiel C.J. Bliemer, John M. Rose -- Observed efficiency of a D-optimal design in an interactive agency choice experiment / Sean M. Puckett, John M. Rose -- Effects of stated choice design dimensions on model estimates / Phani Kumar Chintakayala ... [et al.] -- Stated choice experimental designs for scheduling models / Paul Koster, Yin-Yen Tseng -- Systematically heterogeneous covariance in network GEV models / Jeffrey P. Newman --
What do we really know about travellers' response to unreliability? / Yaron Hollander -- Optimizing product portfolios using discrete choice modeling and TURF / Thomas J. Adler, Colin Smith, Jeffrey Dumont -- Preference stability : modelling how consumer preferences shift after receiving new product information / Harmen Oppewal ... [et al.] -- Investigating willingness to pay -willingness to accept asymmetry in choice experiments / Bruno Lanz ... [et al.] -- Clustering ranked preference data using sociodemographic covariates / Isobel Claire Gormley, Thomas Brendan Murphy -- Continuous versus discrete representation of investing firm heterogeneity in modelling FDI location decisions / Simona Rasciute, Eric J. Pentecost -- Development of integrated choice and latent variable (ICLV) models for the residential relocation decision in island areas / Eleni Kitrinou, Amalia Polydoropoulou, Denis Bolduc.
Record Nr. UNINA-9910780961203321
Bingley, : Emerald Group Publ, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Choice modelling : the state-of-the-art and the state-of-practice : proceedings from the inaugural International Choice Modelling Conference / / edited by Stephane Hess, Andrew Daly
Choice modelling : the state-of-the-art and the state-of-practice : proceedings from the inaugural International Choice Modelling Conference / / edited by Stephane Hess, Andrew Daly
Edizione [1st ed.]
Pubbl/distr/stampa Bingley, : Emerald Group Publ, 2010
Descrizione fisica 1 online resource (638 p.)
Disciplina 330.015196
Altri autori (Persone) HessStephane
DalyAndrew John
Collana Proceedings from the Inaugural International Choice Modelling Conference
Soggetto topico Transportation - General
Transport industries
Economics - Mathematical models
Decision making - Mathematical models
Transportation - Mathematical models
Choice of transportation - Mathematical models
ISBN 1-282-50008-2
9786612500084
1-84950-773-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Sociality, rationality, and the ecology of choice / Daniel McFadden -- Planning and action in a model of choice / Moshe Ben-Akiva -- Attribute processing, heuristics, and preference construction in choice analysis / David A. Hensher -- The multiple discrete-continuous extreme value (MDCEV) model : formulation and applications / Chandra R. Bhat, Naveen Eluru -- Capturing human perception of facial expressions by discrete choice modelling / Matteo Sorci ... [et al.] -- Serial choice conjoint analysis for estimating discrete choice models / Michiel C.J. Bliemer, John M. Rose -- Observed efficiency of a D-optimal design in an interactive agency choice experiment / Sean M. Puckett, John M. Rose -- Effects of stated choice design dimensions on model estimates / Phani Kumar Chintakayala ... [et al.] -- Stated choice experimental designs for scheduling models / Paul Koster, Yin-Yen Tseng -- Systematically heterogeneous covariance in network GEV models / Jeffrey P. Newman --
What do we really know about travellers' response to unreliability? / Yaron Hollander -- Optimizing product portfolios using discrete choice modeling and TURF / Thomas J. Adler, Colin Smith, Jeffrey Dumont -- Preference stability : modelling how consumer preferences shift after receiving new product information / Harmen Oppewal ... [et al.] -- Investigating willingness to pay -willingness to accept asymmetry in choice experiments / Bruno Lanz ... [et al.] -- Clustering ranked preference data using sociodemographic covariates / Isobel Claire Gormley, Thomas Brendan Murphy -- Continuous versus discrete representation of investing firm heterogeneity in modelling FDI location decisions / Simona Rasciute, Eric J. Pentecost -- Development of integrated choice and latent variable (ICLV) models for the residential relocation decision in island areas / Eleni Kitrinou, Amalia Polydoropoulou, Denis Bolduc.
Record Nr. UNINA-9910815047903321
Bingley, : Emerald Group Publ, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Contemporary Bayesian econometrics and statistics [[electronic resource] /] / John Geweke
Contemporary Bayesian econometrics and statistics [[electronic resource] /] / John Geweke
Autore Geweke John
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, c2005
Descrizione fisica 1 online resource (322 p.)
Disciplina 330.015195
330.01519542
330/.01/519542
Collana Wiley Series in Probability and Statistics
Soggetto topico Econometrics
Bayesian statistical decision theory
Decision making - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 1-280-27761-0
9786610277612
0-470-23694-9
0-471-74473-5
0-471-74472-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contemporary Bayesian Econometrics and Statistics; Contents; Preface; 1. Introduction; 1.1 Two Examples; 1.1.1 Public School Class Sizes; 1.1.2 Value at Risk; 1.2 Observables, Unobservables, and Objects of Interest; 1.3 Conditioning and Updating; 1.4 Simulators; 1.5 Modeling; 1.6 Decisionmaking; 2. Elements of Bayesian Inference; 2.1 Basics; 2.2 Sufficiency, Ancillarity, and Nuisance Parameters; 2.2.1 Sufficiency; 2.2.2 Ancillarity; 2.2.3 Nuisance Parameters; 2.3 Conjugate Prior Distributions; 2.4 Bayesian Decision Theory and Point Estimation; 2.5 Credible Sets; 2.6 Model Comparison
2.6.1 Marginal Likelihoods2.6.2 Predictive Densities; 3. Topics in Bayesian Inference; 3.1 Hierarchical Priors and Latent Variables; 3.2 Improper Prior Distributions; 3.3 Prior Robustness and the Density Ratio Class; 3.4 Asymptotic Analysis; 3.5 The Likelihood Principle; 4. Posterior Simulation; 4.1 Direct Sampling; 4.2 Acceptance and Importance Sampling; 4.2.1 Acceptance Sampling; 4.2.2 Importance Sampling; 4.3 Markov Chain Monte Carlo; 4.3.1 The Gibbs Sampler; 4.3.2 The Metropolis-Hastings Algorithm; 4.4 Variance Reduction; 4.4.1 Concentrated Expectations; 4.4.2 Antithetic Sampling
4.5 Some Continuous State Space Markov Chain Theory4.5.1 Convergence of the Gibbs Sampler; 4.5.2 Convergence of the Metropolis-Hastings Algorithm; 4.6 Hybrid Markov Chain Monte Carlo Methods; 4.6.1 Transition Mixtures; 4.6.2 Metropolis within Gibbs; 4.7 Numerical Accuracy and Convergence in Markov Chain Monte Carlo; 5. Linear Models; 5.1 BACC and the Normal Linear Regression Model; 5.2 Seemingly Unrelated Regressions Models; 5.3 Linear Constraints in the Linear Model; 5.3.1 Linear Inequality Constraints
5.3.2 Conjectured Linear Restrictions, Linear Inequality Constraints, and Covariate Selection5.4 Nonlinear Regression; 5.4.1 Nonlinear Regression with Smoothness Priors; 5.4.2 Nonlinear Regression with Basis Functions; 6. Modeling with Latent Variables; 6.1 Censored Normal Linear Models; 6.2 Probit Linear Models; 6.3 The Independent Finite State Model; 6.4 Modeling with Mixtures of Normal Distributions; 6.4.1 The Independent Student-t Linear Model; 6.4.2 Normal Mixture Linear Models; 6.4.3 Generalizing the Observable Outcomes; 7. Modeling for Time Series
7.1 Linear Models with Serial Correlation7.2 The First-Order Markov Finite State Model; 7.2.1 Inference in the Nonstationary Model; 7.2.2 Inference in the Stationary Model; 7.3 Markov Normal Mixture Linear Model; 8. Bayesian Investigation; 8.1 Implementing Simulation Methods; 8.1.1 Density Ratio Tests; 8.1.2 Joint Distribution Tests; 8.2 Formal Model Comparison; 8.2.1 Bayes Factors for Modeling with Common Likelihoods; 8.2.2 Marginal Likelihood Approximation Using Importance Sampling; 8.2.3 Marginal Likelihood Approximation Using Gibbs Sampling
8.2.4 Density Ratio Marginal Likelihood Approximation
Record Nr. UNINA-9910145035003321
Geweke John  
Hoboken, N.J., : John Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Contemporary Bayesian econometrics and statistics [[electronic resource] /] / John Geweke
Contemporary Bayesian econometrics and statistics [[electronic resource] /] / John Geweke
Autore Geweke John
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, c2005
Descrizione fisica 1 online resource (322 p.)
Disciplina 330.015195
330.01519542
330/.01/519542
Collana Wiley Series in Probability and Statistics
Soggetto topico Econometrics
Bayesian statistical decision theory
Decision making - Mathematical models
ISBN 1-280-27761-0
9786610277612
0-470-23694-9
0-471-74473-5
0-471-74472-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contemporary Bayesian Econometrics and Statistics; Contents; Preface; 1. Introduction; 1.1 Two Examples; 1.1.1 Public School Class Sizes; 1.1.2 Value at Risk; 1.2 Observables, Unobservables, and Objects of Interest; 1.3 Conditioning and Updating; 1.4 Simulators; 1.5 Modeling; 1.6 Decisionmaking; 2. Elements of Bayesian Inference; 2.1 Basics; 2.2 Sufficiency, Ancillarity, and Nuisance Parameters; 2.2.1 Sufficiency; 2.2.2 Ancillarity; 2.2.3 Nuisance Parameters; 2.3 Conjugate Prior Distributions; 2.4 Bayesian Decision Theory and Point Estimation; 2.5 Credible Sets; 2.6 Model Comparison
2.6.1 Marginal Likelihoods2.6.2 Predictive Densities; 3. Topics in Bayesian Inference; 3.1 Hierarchical Priors and Latent Variables; 3.2 Improper Prior Distributions; 3.3 Prior Robustness and the Density Ratio Class; 3.4 Asymptotic Analysis; 3.5 The Likelihood Principle; 4. Posterior Simulation; 4.1 Direct Sampling; 4.2 Acceptance and Importance Sampling; 4.2.1 Acceptance Sampling; 4.2.2 Importance Sampling; 4.3 Markov Chain Monte Carlo; 4.3.1 The Gibbs Sampler; 4.3.2 The Metropolis-Hastings Algorithm; 4.4 Variance Reduction; 4.4.1 Concentrated Expectations; 4.4.2 Antithetic Sampling
4.5 Some Continuous State Space Markov Chain Theory4.5.1 Convergence of the Gibbs Sampler; 4.5.2 Convergence of the Metropolis-Hastings Algorithm; 4.6 Hybrid Markov Chain Monte Carlo Methods; 4.6.1 Transition Mixtures; 4.6.2 Metropolis within Gibbs; 4.7 Numerical Accuracy and Convergence in Markov Chain Monte Carlo; 5. Linear Models; 5.1 BACC and the Normal Linear Regression Model; 5.2 Seemingly Unrelated Regressions Models; 5.3 Linear Constraints in the Linear Model; 5.3.1 Linear Inequality Constraints
5.3.2 Conjectured Linear Restrictions, Linear Inequality Constraints, and Covariate Selection5.4 Nonlinear Regression; 5.4.1 Nonlinear Regression with Smoothness Priors; 5.4.2 Nonlinear Regression with Basis Functions; 6. Modeling with Latent Variables; 6.1 Censored Normal Linear Models; 6.2 Probit Linear Models; 6.3 The Independent Finite State Model; 6.4 Modeling with Mixtures of Normal Distributions; 6.4.1 The Independent Student-t Linear Model; 6.4.2 Normal Mixture Linear Models; 6.4.3 Generalizing the Observable Outcomes; 7. Modeling for Time Series
7.1 Linear Models with Serial Correlation7.2 The First-Order Markov Finite State Model; 7.2.1 Inference in the Nonstationary Model; 7.2.2 Inference in the Stationary Model; 7.3 Markov Normal Mixture Linear Model; 8. Bayesian Investigation; 8.1 Implementing Simulation Methods; 8.1.1 Density Ratio Tests; 8.1.2 Joint Distribution Tests; 8.2 Formal Model Comparison; 8.2.1 Bayes Factors for Modeling with Common Likelihoods; 8.2.2 Marginal Likelihood Approximation Using Importance Sampling; 8.2.3 Marginal Likelihood Approximation Using Gibbs Sampling
8.2.4 Density Ratio Marginal Likelihood Approximation
Record Nr. UNINA-9910831067803321
Geweke John  
Hoboken, N.J., : John Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Decision making algorithms for hydro-power plant location / / Mrinmoy Majumder, Soumya Ghosh
Decision making algorithms for hydro-power plant location / / Mrinmoy Majumder, Soumya Ghosh
Autore Majumder Mrinmoy
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York : , : Springer, , 2013
Descrizione fisica 1 online resource (vi, 73 pages) : illustrations (some color), color maps
Disciplina 333.9140151
621.319
Collana SpringerBriefs in Energy
Soggetto topico Hydroelectric power plants
Decision making - Mathematical models
ISBN 981-4451-63-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Hydro-Power Plants -- Decision Making Procedures -- Nature Based Algorithms -- Case Studies -- Conclusions.
Record Nr. UNINA-9910739474303321
Majumder Mrinmoy  
New York : , : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Decision making and programming [[electronic resource] /] / V.V. Kolbin ; translated from Russian by V.M. Donets
Decision making and programming [[electronic resource] /] / V.V. Kolbin ; translated from Russian by V.M. Donets
Autore Kolbin V. V (Vi͡acheslav Viktorovich), <1941->
Pubbl/distr/stampa River Edge, N.J., : World Scientific, c2003
Descrizione fisica 1 online resource (757 p.)
Disciplina 519.7
Soggetto topico Decision making - Mathematical models
Computer programming - Decision making
Soggetto genere / forma Electronic books.
ISBN 1-281-92816-X
9786611928162
981-277-546-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; INTRODUCTION; Chapter 1 SOCIAL CHOICE PROBLEMS; 1.1. INDIVIDUAL PREFERENCE AGGREGATION; 1.1.1. Individual Preference Aggregation under Certainty; 1.1.2. Individual Preference Aggregation under Uncertainty; 1.1.3. Decision-making under Fuzzy Preference Relation on the Set of Alternatives; 1.2. COLLECTIVE PREFERENCE AGGREGATION; 1.2.1. The Procedures Using the Scale as the Auxiliary Collective Structure; 1.2.2. The Procedures Taking into Account Individual Utility Alternatives; 1.2.3. The Procedures with Exclusion of a Part of Alternatives
1.2.4. The Procedure with the Aggregating Rule Altered1.2.5. Collective Preference Aggregation; 1.3. MANIPULATION; 1.3.1. Dictation policy; 1.3.2. Methods of group manipulation; 1.3.3. Manipulation theorems and proofs; 1.4. EXAMPLES AND ALGORITHMS FOR PREFERENCE AGGREGATION; 1.4.1. Examples and Algorithm for Preference Aggregation Subject to Criterion Convolution; 1.4.2. Examples and Algorithm for Preference Aggregation in Terms of a Set of Attributes; 1.4.3. The Examples Using the Aggregating Rules during Collective Decision Making (Voting Rules); Chapter 2 VECTOR OPTIMIZATION
2.1. DEFINITION OF UNIMPROVABLE POINTS 2.2. OPTIMIZATION OF THE HIERARCHICAL SEQUENCE OF QUALITY CRITERIA; 2.3. TRADEOFFS; I. Uniformity principles; II. Fair concession principles; III. Other optimality principles; 2.4. THE LINEAR CONVOLUTION OF CRITERIA IN MULTICRITERIA OPTIMIZATION PROBLEMS; 2.4.1. The linear convolution of criteria in multicriteria optimization problems; 2.4.2. Properties of linear convolution; 2.4.3. A geometric interpretation of linear convolution; 2.4.4. Bicriterial problems; 2.5. SOLVABILITY OF THE VECTOR PROBLEM BY THE LINEAR CRITERIA CONVOLUTION ALGORITHM
2.5.1. Test for solvability2.5.2. Solvability of trajectory problems; 2.5.3. The reduction algorithm for the solvable problem; 2.6. THE LOGICAL CRITERION VECTOR CONVOLUTION IN THE PARETO SET APPROXIMATION PROBLEM; 2.6.1. The regular case; 2.6.2. The convex case; 2.6.3. The linear case; 2.7. COMPUTATIONAL RESEARCH ON LINEAR CRITERIA CONVOLUTION IN MULTICRITERIA DISCRETE PROGRAMMING; 2.7.1 Computational complexity of multicriteria discrete optimization problems; 2.7.2. A computational experiment; 2.7.3. A problem-solving algorithm; 2.7.4. The results of computational experiment
Chapter 3 INFINITE-VALUED PROGRAMMING PROBLEMS 3.1. BASIC NOTIONS AND PROPOSITIONS; 3.2. JUSTIFICATION OF NUMERICAL METHODS FOR SOLVING INFINITE-VALUED PROGRAMMING PROBLEMS; 3.3. NUMERICAL METHODS OF SOLUTION; 3.4. SEPARABLE INFINITE-VALUED PROGRAMMING PROBLEMS; 3.4.1. Existence conditions for solutions in separable infinite-valued problems; 3.4.2. Some methods for solving separable infinite-dimensional problems; Chapter 4 STOCHASTIC PROGRAMMING; 4.1. STOCHASTIC PROGRAMMING MODELS; 4.2. STOCHASTIC PROGRAMMING METHODS; 4.3. SOLUTION ALGORITHMS FOR STOCHASTIC PROGRAMMING PROBLEMS
4.3.1. Solution of a two-stage linear stochastic programming problem
Record Nr. UNINA-9910454340703321
Kolbin V. V (Vi͡acheslav Viktorovich), <1941->  
River Edge, N.J., : World Scientific, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Decision making and programming [[electronic resource] /] / V.V. Kolbin ; translated from Russian by V.M. Donets
Decision making and programming [[electronic resource] /] / V.V. Kolbin ; translated from Russian by V.M. Donets
Autore Kolbin V. V (Vi͡acheslav Viktorovich), <1941->
Pubbl/distr/stampa River Edge, N.J., : World Scientific, c2003
Descrizione fisica 1 online resource (757 p.)
Disciplina 519.7
Soggetto topico Decision making - Mathematical models
Computer programming - Decision making
ISBN 1-281-92816-X
9786611928162
981-277-546-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; INTRODUCTION; Chapter 1 SOCIAL CHOICE PROBLEMS; 1.1. INDIVIDUAL PREFERENCE AGGREGATION; 1.1.1. Individual Preference Aggregation under Certainty; 1.1.2. Individual Preference Aggregation under Uncertainty; 1.1.3. Decision-making under Fuzzy Preference Relation on the Set of Alternatives; 1.2. COLLECTIVE PREFERENCE AGGREGATION; 1.2.1. The Procedures Using the Scale as the Auxiliary Collective Structure; 1.2.2. The Procedures Taking into Account Individual Utility Alternatives; 1.2.3. The Procedures with Exclusion of a Part of Alternatives
1.2.4. The Procedure with the Aggregating Rule Altered1.2.5. Collective Preference Aggregation; 1.3. MANIPULATION; 1.3.1. Dictation policy; 1.3.2. Methods of group manipulation; 1.3.3. Manipulation theorems and proofs; 1.4. EXAMPLES AND ALGORITHMS FOR PREFERENCE AGGREGATION; 1.4.1. Examples and Algorithm for Preference Aggregation Subject to Criterion Convolution; 1.4.2. Examples and Algorithm for Preference Aggregation in Terms of a Set of Attributes; 1.4.3. The Examples Using the Aggregating Rules during Collective Decision Making (Voting Rules); Chapter 2 VECTOR OPTIMIZATION
2.1. DEFINITION OF UNIMPROVABLE POINTS 2.2. OPTIMIZATION OF THE HIERARCHICAL SEQUENCE OF QUALITY CRITERIA; 2.3. TRADEOFFS; I. Uniformity principles; II. Fair concession principles; III. Other optimality principles; 2.4. THE LINEAR CONVOLUTION OF CRITERIA IN MULTICRITERIA OPTIMIZATION PROBLEMS; 2.4.1. The linear convolution of criteria in multicriteria optimization problems; 2.4.2. Properties of linear convolution; 2.4.3. A geometric interpretation of linear convolution; 2.4.4. Bicriterial problems; 2.5. SOLVABILITY OF THE VECTOR PROBLEM BY THE LINEAR CRITERIA CONVOLUTION ALGORITHM
2.5.1. Test for solvability2.5.2. Solvability of trajectory problems; 2.5.3. The reduction algorithm for the solvable problem; 2.6. THE LOGICAL CRITERION VECTOR CONVOLUTION IN THE PARETO SET APPROXIMATION PROBLEM; 2.6.1. The regular case; 2.6.2. The convex case; 2.6.3. The linear case; 2.7. COMPUTATIONAL RESEARCH ON LINEAR CRITERIA CONVOLUTION IN MULTICRITERIA DISCRETE PROGRAMMING; 2.7.1 Computational complexity of multicriteria discrete optimization problems; 2.7.2. A computational experiment; 2.7.3. A problem-solving algorithm; 2.7.4. The results of computational experiment
Chapter 3 INFINITE-VALUED PROGRAMMING PROBLEMS 3.1. BASIC NOTIONS AND PROPOSITIONS; 3.2. JUSTIFICATION OF NUMERICAL METHODS FOR SOLVING INFINITE-VALUED PROGRAMMING PROBLEMS; 3.3. NUMERICAL METHODS OF SOLUTION; 3.4. SEPARABLE INFINITE-VALUED PROGRAMMING PROBLEMS; 3.4.1. Existence conditions for solutions in separable infinite-valued problems; 3.4.2. Some methods for solving separable infinite-dimensional problems; Chapter 4 STOCHASTIC PROGRAMMING; 4.1. STOCHASTIC PROGRAMMING MODELS; 4.2. STOCHASTIC PROGRAMMING METHODS; 4.3. SOLUTION ALGORITHMS FOR STOCHASTIC PROGRAMMING PROBLEMS
4.3.1. Solution of a two-stage linear stochastic programming problem
Record Nr. UNINA-9910782283703321
Kolbin V. V (Vi͡acheslav Viktorovich), <1941->  
River Edge, N.J., : World Scientific, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Decision making and programming / / V.V. Kolbin ; translated from Russian by V.M. Donets
Decision making and programming / / V.V. Kolbin ; translated from Russian by V.M. Donets
Autore Kolbin V. V (Vi͡acheslav Viktorovich), <1941->
Edizione [1st ed.]
Pubbl/distr/stampa River Edge, N.J., : World Scientific, c2003
Descrizione fisica 1 online resource (757 p.)
Disciplina 519.7
Soggetto topico Decision making - Mathematical models
Computer programming - Decision making
ISBN 1-281-92816-X
9786611928162
981-277-546-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; INTRODUCTION; Chapter 1 SOCIAL CHOICE PROBLEMS; 1.1. INDIVIDUAL PREFERENCE AGGREGATION; 1.1.1. Individual Preference Aggregation under Certainty; 1.1.2. Individual Preference Aggregation under Uncertainty; 1.1.3. Decision-making under Fuzzy Preference Relation on the Set of Alternatives; 1.2. COLLECTIVE PREFERENCE AGGREGATION; 1.2.1. The Procedures Using the Scale as the Auxiliary Collective Structure; 1.2.2. The Procedures Taking into Account Individual Utility Alternatives; 1.2.3. The Procedures with Exclusion of a Part of Alternatives
1.2.4. The Procedure with the Aggregating Rule Altered1.2.5. Collective Preference Aggregation; 1.3. MANIPULATION; 1.3.1. Dictation policy; 1.3.2. Methods of group manipulation; 1.3.3. Manipulation theorems and proofs; 1.4. EXAMPLES AND ALGORITHMS FOR PREFERENCE AGGREGATION; 1.4.1. Examples and Algorithm for Preference Aggregation Subject to Criterion Convolution; 1.4.2. Examples and Algorithm for Preference Aggregation in Terms of a Set of Attributes; 1.4.3. The Examples Using the Aggregating Rules during Collective Decision Making (Voting Rules); Chapter 2 VECTOR OPTIMIZATION
2.1. DEFINITION OF UNIMPROVABLE POINTS 2.2. OPTIMIZATION OF THE HIERARCHICAL SEQUENCE OF QUALITY CRITERIA; 2.3. TRADEOFFS; I. Uniformity principles; II. Fair concession principles; III. Other optimality principles; 2.4. THE LINEAR CONVOLUTION OF CRITERIA IN MULTICRITERIA OPTIMIZATION PROBLEMS; 2.4.1. The linear convolution of criteria in multicriteria optimization problems; 2.4.2. Properties of linear convolution; 2.4.3. A geometric interpretation of linear convolution; 2.4.4. Bicriterial problems; 2.5. SOLVABILITY OF THE VECTOR PROBLEM BY THE LINEAR CRITERIA CONVOLUTION ALGORITHM
2.5.1. Test for solvability2.5.2. Solvability of trajectory problems; 2.5.3. The reduction algorithm for the solvable problem; 2.6. THE LOGICAL CRITERION VECTOR CONVOLUTION IN THE PARETO SET APPROXIMATION PROBLEM; 2.6.1. The regular case; 2.6.2. The convex case; 2.6.3. The linear case; 2.7. COMPUTATIONAL RESEARCH ON LINEAR CRITERIA CONVOLUTION IN MULTICRITERIA DISCRETE PROGRAMMING; 2.7.1 Computational complexity of multicriteria discrete optimization problems; 2.7.2. A computational experiment; 2.7.3. A problem-solving algorithm; 2.7.4. The results of computational experiment
Chapter 3 INFINITE-VALUED PROGRAMMING PROBLEMS 3.1. BASIC NOTIONS AND PROPOSITIONS; 3.2. JUSTIFICATION OF NUMERICAL METHODS FOR SOLVING INFINITE-VALUED PROGRAMMING PROBLEMS; 3.3. NUMERICAL METHODS OF SOLUTION; 3.4. SEPARABLE INFINITE-VALUED PROGRAMMING PROBLEMS; 3.4.1. Existence conditions for solutions in separable infinite-valued problems; 3.4.2. Some methods for solving separable infinite-dimensional problems; Chapter 4 STOCHASTIC PROGRAMMING; 4.1. STOCHASTIC PROGRAMMING MODELS; 4.2. STOCHASTIC PROGRAMMING METHODS; 4.3. SOLUTION ALGORITHMS FOR STOCHASTIC PROGRAMMING PROBLEMS
4.3.1. Solution of a two-stage linear stochastic programming problem
Record Nr. UNINA-9910809090503321
Kolbin V. V (Vi͡acheslav Viktorovich), <1941->  
River Edge, N.J., : World Scientific, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui