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Applications of GRA and grey prediction models / / guest editors, Professor Naiming Xie, Dr Yingjie Yang and Dr Chuanmin Mi
| Applications of GRA and grey prediction models / / guest editors, Professor Naiming Xie, Dr Yingjie Yang and Dr Chuanmin Mi |
| Pubbl/distr/stampa | Bradford, [England] : , : Emerald Insight, , 2014 |
| Descrizione fisica | 1 online resource (243 p.) |
| Disciplina | 629 |
| Collana | Grey Systems: Theory and Application: Volume 4, Issue 2 |
| Soggetto topico |
Time-series analysis
Forecasting System theory |
| ISBN | 1-78441-332-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Editorial advisory board; Guest editorial; Property of derived grey verhulst model with multiple transformation; Multi-phase information aggregation and dynamic synthetic evaluation based on grey inspiriting control lines; Multi-terms MADM procedures with GRA and TOPSIS based on IFS and IVIFS; Development prediction of logistics industry in Henan province and its dynamic analysis; A grey STA-GERT quality evaluation model for complex products based on manufacture-service dual-network; Theoretical and empirical analysis of the supplier induced demand in health care marketin China
Combined forecasting of regional logistics demand optimized by genetic algorithmApplication of grey relational analysis to expose individual student's cognitive difficulties in English public speaking; Mobile communication service income prediction method based on grey buffer operator theory; Using grey relational analysis to evaluate resource configuration and service ability for hospital on public private partnership model in China; The status of traditional medicine and national medicine in different areas of the China in 2011 with grey clustering analysis Presenting a model for safety program performance assessment using grey system theoryDiscrete Verhulst model based on a linear time-varying; Application of metabolic GM(1,1) model in financial repression approach to the financing difficulty of the small and medium-sized enterprises; Centipede Game network model of investment in real estate market based on grey integration and forwards induction; Research on risk spread model of industrial chain; The grey interval prediction method and its prediction accuracy Dynamic information aggregation decision-making methods based on variable precision rough set and grey clusteringAn exploration research of the independent college operation efficiency indicators based on DEA; Grey power models based on optimization of initial condition and model parameters |
| Record Nr. | UNINA-9910787280103321 |
| Bradford, [England] : , : Emerald Insight, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of GRA and grey prediction models / / guest editors, Professor Naiming Xie, Dr Yingjie Yang and Dr Chuanmin Mi
| Applications of GRA and grey prediction models / / guest editors, Professor Naiming Xie, Dr Yingjie Yang and Dr Chuanmin Mi |
| Pubbl/distr/stampa | Bradford, [England] : , : Emerald Insight, , 2014 |
| Descrizione fisica | 1 online resource (243 p.) |
| Disciplina | 629 |
| Collana | Grey Systems: Theory and Application: Volume 4, Issue 2 |
| Soggetto topico |
Time-series analysis
Forecasting System theory |
| ISBN | 1-78441-332-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Editorial advisory board; Guest editorial; Property of derived grey verhulst model with multiple transformation; Multi-phase information aggregation and dynamic synthetic evaluation based on grey inspiriting control lines; Multi-terms MADM procedures with GRA and TOPSIS based on IFS and IVIFS; Development prediction of logistics industry in Henan province and its dynamic analysis; A grey STA-GERT quality evaluation model for complex products based on manufacture-service dual-network; Theoretical and empirical analysis of the supplier induced demand in health care marketin China
Combined forecasting of regional logistics demand optimized by genetic algorithmApplication of grey relational analysis to expose individual student's cognitive difficulties in English public speaking; Mobile communication service income prediction method based on grey buffer operator theory; Using grey relational analysis to evaluate resource configuration and service ability for hospital on public private partnership model in China; The status of traditional medicine and national medicine in different areas of the China in 2011 with grey clustering analysis Presenting a model for safety program performance assessment using grey system theoryDiscrete Verhulst model based on a linear time-varying; Application of metabolic GM(1,1) model in financial repression approach to the financing difficulty of the small and medium-sized enterprises; Centipede Game network model of investment in real estate market based on grey integration and forwards induction; Research on risk spread model of industrial chain; The grey interval prediction method and its prediction accuracy Dynamic information aggregation decision-making methods based on variable precision rough set and grey clusteringAn exploration research of the independent college operation efficiency indicators based on DEA; Grey power models based on optimization of initial condition and model parameters |
| Record Nr. | UNINA-9910812705503321 |
| Bradford, [England] : , : Emerald Insight, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Grey Data Analysis : Methods, Models and Applications / / by Sifeng Liu, Yingjie Yang, Jeffrey Forrest
| Grey Data Analysis : Methods, Models and Applications / / by Sifeng Liu, Yingjie Yang, Jeffrey Forrest |
| Autore | Liu Sifeng |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (351 p.) |
| Disciplina | 650 |
| Collana | Computational Risk Management |
| Soggetto topico |
Operations research
Decision making Risk management Operations Research/Decision Theory Risk Management |
| ISBN | 981-10-1841-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foreword -- Preface -- Chapter 1 Introduction to Grey System Theory -- Chapter 2 The Novel Framework of Grey System Theory -- Chapter 3 Grey Numbers and Their Operations -- Chapter 4 Sequence Operators and Grey Data Mining -- Chapter 5 Grey Incidence Analysis Models -- Chapter 6 Grey Cluster Evaluation Models -- Chapter 7 Series of GM Models -- Chapter 8 Combined Grey Models -- Chapter 9 Techniques for Grey System Forecasting -- Chapter 10 Grey Models for Decision-making -- Chapter 11 Techniques Grey Control -- Chapter 12 Introduction to the Software of Grey System Modelling -- References -- Index. |
| Record Nr. | UNINA-9910254926503321 |
Liu Sifeng
|
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Grey systems analysis : methods, models and applications / / Sifeng Liu, Yingjie Yang, and Jeffrey Yi-Lin Forrest
| Grey systems analysis : methods, models and applications / / Sifeng Liu, Yingjie Yang, and Jeffrey Yi-Lin Forrest |
| Autore | Liu Sifeng |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (384 pages) |
| Disciplina | 003 |
| Collana | Series on Grey System |
| Soggetto topico |
System analysis
System analysis - Mathematical models Anàlisi de sistemes Models matemàtics |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-6160-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Series Preface -- Foreword by Dr. James M. Tien -- Foreword by Dr. Keith William Hipel -- Foreword by Dr. Hermann Haken -- Foreword by Dr. Robert Vallée -- Preface -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 The Scientific Background of the Birth of Grey System Theory -- 1.2 The Founder of Grey System Theory -- 1.3 Development of Grey Systems Theory -- 1.3.1 Building a Basic Team -- 1.3.2 Establishment of Academic Organizations -- 1.3.3 Journals and Book Series on Grey System Theory -- 1.3.4 Grey System Theory Curriculums -- 1.3.5 Researchers of Grey System Theory Are All Over the World -- 1.3.6 Papers of Grey Systems Theory Are Growing Rapidly -- 1.4 Elementary Concepts of Grey System Theory -- 1.5 Fundamental Principles of Grey System Theory -- 1.6 Main Contents of Grey System Theory -- References -- 2 Characteristics of Grey System Theory -- 2.1 A Kind of Poor Data Analysis Method with Strong Penetration -- 2.2 Characteristics of Uncertain Systems and the Simplicity Principle in Sciences -- 2.2.1 Incomplete Information -- 2.2.2 Inaccuracies in Data -- 2.2.3 The Scientific Principle of Simplicity -- 2.2.4 Precise Models Suffer from Inaccuracies -- 2.3 Comparison of Several Uncertainty Methods -- 2.4 Deep Applications of Grey System Theory in the Fields of Social Science, Natural Science and Engineering Technology -- 2.4.1 Successful Application of Grey System Theory in the Field of Social Sciences -- 2.4.2 Deep Application of Grey System Theory in the Field of Natural Science -- 2.4.3 A Large Number of Applications of Grey System Theory in the Field of Engineering Technology -- References -- 3 Grey Numbers and Their Operations -- 3.1 Grey Numbers -- 3.2 The Whitenization of a Grey Number and Degree of Greyness -- 3.3 Degree of Greyness Defined by Axioms -- 3.4 The Operations of Interval Grey Numbers.
3.5 General Grey Numbers and Their Operations -- 3.5.1 Reduced Form of Interval Grey Numbers -- 3.5.2 General Grey Number and Its Reduced Form -- 3.5.3 Synthesis of Degree of Greyness and Operations of General Grey Numbers -- References -- 4 Sequence Operators and Grey Data Mining -- 4.1 Introduction -- 4.2 Systems Under Shocking Disturbances and Buffer Operators -- 4.2.1 The Trap for Shocking Disturbed System Forecasting -- 4.2.2 Axioms of Buffer Operators -- 4.2.3 Properties of Buffer Operators -- 4.3 Construction of Practically Useful Buffer Operators -- 4.3.1 Weakening Buffer Operators -- 4.3.2 Strengthening Buffer Operators -- 4.3.3 The General Form of Buffer Operator -- 4.4 Average Operator -- 4.5 The Quasi-Smooth Sequence and Stepwise Ratio Operator -- 4.6 Accumulating and Inverse Accumulating Operators -- 4.7 Exponentiality of Accumulating Sequence -- References -- 5 Grey Relational Analysis Models -- 5.1 Introduction -- 5.2 Grey Relational Factors and Set of Grey Relational Operators -- 5.3 Grey Relational Axioms and Deng's Grey Relational Analysis Model -- 5.4 Grey Absolute Relational Degree -- 5.5 Grey Relative and Synthetic Relational Degree -- 5.5.1 Relative Grey Relational Degree -- 5.5.2 Grey Synthetic Relational Degree -- 5.6 Grey Similarity, Closeness and Three-Dimensional Relational Degree -- 5.6.1 Grey Relational Analysis Models Based on Similarity and Closeness -- 5.6.2 Grey Three-Dimension Degree of Relational Degree -- 5.7 Negative Grey Relational Analysis Models -- 5.8 Superiority Analysis -- 5.9 Practical Application -- References -- 6 Grey Clustering Evaluation Models -- 6.1 Introduction -- 6.2 Grey Relational Clustering Model -- 6.3 Common Possibility Functions -- 6.4 Variable Weight Grey Clustering Model -- 6.5 Fixed Weight Grey Clustering Model -- 6.6 Grey Clustering Evaluation Models Based on Mixed Possibility Functions. 6.6.1 Grey Clustering Evaluation Model Based on End-Point Mixed Possibility Functions -- 6.6.2 Grey Clustering Evaluation Model Based on Center-Point Mixed Possibility Functions -- 6.7 Practical Applications -- References -- 7 Series of GM Models -- 7.1 Introduction -- 7.2 The Four Basic Forms of GM(1,1) -- 7.2.1 The Basic Forms of Model GM(1,1) -- 7.2.2 Properties and Characteristics of the Basic Model -- 7.3 Suitable Ranges of Different GM(1,1) -- 7.3.1 Suitable Sequences of Different GM(1,1) -- 7.3.2 Applicable Ranges of EGM -- 7.4 Remnant GM(1,1) Model -- 7.5 Group of GM(1,1) Models -- 7.6 The Fractional Grey Model -- 7.7 The Models of GM(r,h) -- 7.7.1 The Model of GM(0,N) -- 7.7.2 The Model of GM(1, N) -- 7.7.3 The Grey Verhulst Model -- 7.7.4 The Self-memory Grey Model -- 7.7.5 The Models of GM(r,h) -- 7.8 Practical Applications -- References -- 8 Combined Grey Models -- 8.1 Grey Econometrics Models -- 8.1.1 Determination of Variables Using the Grey Relational Principles -- 8.1.2 Grey Econometrics Models -- 8.2 Combined Grey Linear Regression Models -- 8.3 Grey Cobb-Douglas Model -- 8.4 Grey Artificial Neural Network Models -- 8.4.1 BP Artificial Neural Model and Computational Schemes -- 8.4.2 Steps in Grey BP Neural Network Modeling -- 8.5 Grey Markov Model -- 8.5.1 Grey Moving Probability Markov Model -- 8.5.2 Grey State Markov Model -- 8.6 Combined Grey-Rough Model -- 8.6.1 Rough Membership, Grey Membership and Grey Numbers -- 8.6.2 Grey Rough Approximation -- 8.6.3 Combined Grey Clustering and Rough Set Model -- 8.7 Practical Applications -- References -- 9 Techniques for Grey Systems Forecasting -- 9.1 Introduction -- 9.2 Interval Forecasting -- 9.3 Grey Distortion Forecasting -- 9.4 Wave Form Forecasting -- 9.5 System Forecasting -- 9.5.1 The Five-Step Modeling Process -- 9.5.2 System Models for Prediction -- 9.6 Practical Applications. References -- 10 Grey Models for Decision-Making -- 10.1 Introduction -- 10.2 Grey Target Decisions -- 10.3 Other Approaches to Grey Decision -- 10.3.1 Grey Relational Decision -- 10.3.2 Grey Development Decision -- 10.3.3 Grey Clustering Decision -- 10.4 Multi-attribute Intelligent Grey Target Decision Model -- 10.4.1 The Uniform Effect Measure -- 10.4.2 The Weighted Synthetic Effect Measure -- 10.5 On Paradox of Rule of Maximum Value and Its Solution -- 10.5.1 The Weight Vector Group with Kernel -- 10.5.2 The Weighted Comprehensive Clustering Coefficient Vector -- 10.5.3 Several Functional Weight Vector Groups with Kernel -- 10.6 Practical Applications -- References -- 11 Grey Control Systems -- 11.1 Introduction -- 11.2 Controllability and Observability of Grey System -- 11.3 Transfer Functions of Grey System -- 11.3.1 Grey Transfer Function -- 11.3.2 Transfer Functions of Typical Links -- 11.3.3 Matrices of Grey Transfer Functions -- 11.4 Robust Stability of Grey System -- 11.4.1 Robust Stability of Grey Linear Systems -- 11.4.2 Robust Stability of Grey Linear Time-Delay Systems -- 11.4.3 Robust Stability of Grey Stochastic Linear Time-Delay System -- 11.5 Several Typical Grey Control Models -- 11.5.1 Control of Redundancy Removal -- 11.5.2 Grey Relational Control -- 11.5.3 Control of Grey Prediction -- References -- 12 Spectrum Analysis of Sequence Operators -- 12.1 Introduction -- 12.2 Spectrum Analysis of Time Series Data -- 12.3 Filtering Effect of Mean Operator and Accumulation Operator -- 12.3.1 Filtering Effect of Mean Operator -- 12.3.2 Filtering Effect of Accumulation Operator -- 12.3.3 Filtering Effect of Series Operator -- 12.4 Spectrum Analysis of Buffer Operator -- References -- Appendix Introduction to Grey Systems Modeling Software -- A.1 Introduction -- A.2 Software Features and Functions -- A.3 Main Components. A.4 Operation Guide -- A.4.1 The Confirmation System -- A.4.2 Using the Software Package -- Memorabilia of the Establishment and Development of Grey System Theory (1982-2021) -- Farewell to Our Tutor -- Bibliography -- Index. |
| Record Nr. | UNISA-996503551703316 |
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Liu Sifeng
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| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Grey Systems Analysis : Methods, Models and Applications / / by Sifeng Liu, Yingjie Yang, Jeffrey Yi-Lin Forrest
| Grey Systems Analysis : Methods, Models and Applications / / by Sifeng Liu, Yingjie Yang, Jeffrey Yi-Lin Forrest |
| Autore | Liu Sifeng |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (384 pages) |
| Disciplina | 003 |
| Collana | Series on Grey System |
| Soggetto topico |
Operations research
Statistics Management science Operations Research and Decision Theory Applied Statistics Operations Research, Management Science |
| ISBN |
9811961603
9789811961601 9789811961595 981196159X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2.Characteristics of grey system theory -- 3.Grey Numbers and their Operations -- 4. Sequence Operators and Grey Data Mining -- 5. Grey Relational Analysis Models -- 6. Grey Clustering Evaluation Models -- 7. Series of GM Models -- 8. Combined Grey Models -- 9.Techniques for Grey System Forecasting -- 10. Grey Models for Decision-Making -- 11. Grey Control Systems -- 12. Spectrum analysis of sequence operators. . |
| Record Nr. | UNINA-9910634032803321 |
|
Liu Sifeng
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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