Predictive and Simulation Analytics : Deeper Insights for Better Business Decisions / / by Walter R. Paczkowski |
Autore | Paczkowski Walter R |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (381 pages) |
Disciplina | 658.4033 |
Soggetto topico |
Statistics
Business—Data processing Statistics in Business, Management, Economics, Finance, Insurance Business Analytics Business Informatics Presa de decisions Models matemàtics Direcció d'empreses Estadística matemàtica Matemàtica discreta |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-31887-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1: The Analytics Quest: The Drive for Rich Information -- 1. Decisions, Information, and Data -- 2. A Systems Perspective -- Part 2: Predictive Analytics: Background -- 3. Information Extraction: Basic Time Series Methods -- 4. Information Extraction: Advanced Time Series Methods -- 5. Information Extraction: Non-Time Series Methods -- 6. Useful Life of a Predictive Model -- Part 3: Simulation Analytics: Background -- 7. Introduction to Simulations -- 8. Designing and analyzing a Simulation -- 9. Random Numbers: The Backbone of Stochastic Simulations -- 10. Examples of Stochastic Simulations: Monte Carlo Simulations -- Part 4: Melding The Two Analytics -- 11. Melding Predictive and Simulation Analytics -- 12. Applications: Operational Scale-View -- 13. Applications: Tactical and Strategic Scale-Views. |
Record Nr. | UNINA-9910735796403321 |
Paczkowski Walter R
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Q-Rung orthopair fuzzy sets : theory and applications. / / edited by Harish Garg |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (558 pages) |
Disciplina | 511.3223 |
Soggetto topico |
Fuzzy sets
Presa de decisions Matemàtica Conjunts borrosos |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9789811914492
9789811914485 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- About the Editor -- 1 q-Rung Orthopair Fuzzy Supra Topological Applications in Data Mining Process -- 1.1 Introduction -- 1.2 Preliminary -- 1.3 q-Rung Orthopair Fuzzy Supra Topological Spaces -- 1.4 Mappings of q-Rung Orthopair Fuzzy Spaces -- 1.5 Algorithm for Data Mining Problem Via q-Rung Orthopair Fuzzy Supra Topology -- 1.6 Numerical Example -- 1.7 Conclusion and Future Work -- References -- 2 q-Rung Orthopair Fuzzy Soft Topology with Multi-attribute Decision-Making -- 2.1 Introduction -- 2.2 Some Elementary Models -- 2.3 q-Rung Orthopair Fuzzy Soft Sets -- 2.4 q-Rung Orthopair Fuzzy Soft Topology -- 2.4.1 q-ROFS Separation Axioms -- 2.5 Multi-attribute Decision-Making -- 2.5.1 Numerical Application -- 2.5.2 Generalized Choice Value Method -- 2.6 Conclusion -- References -- 3 Decision-Making on Patients' Medical Status Based on a q-Rung Orthopair Fuzzy Max-Min-Max Composite Relation -- 3.1 Introduction -- 3.2 Preliminaries -- 3.2.1 q-Rung Orthopair Fuzzy Sets -- 3.3 q-Rung Orthopair Fuzzy Max-Min-Max Composite Relation -- 3.3.1 Numerical Application -- 3.4 Application of qROFMMMCR in Disease Diagnosis -- 3.4.1 qROFMMMCR in Terms of Patients and Diseases with Respect to Symptoms -- 3.4.2 Experiment of Disease Diagnosis -- 3.5 Conclusion -- References -- 4 Soergel Distance Measures for q-Rung Orthopair Fuzzy Sets and Their Applications -- 4.1 Introduction -- 4.2 Background -- 4.2.1 q-Rung Orthopair Fuzzy Sets -- 4.2.2 Some Existing Information Measures for q-ROFSs -- 4.3 Soergel Distance Measures for q-ROFSs and Their Validation/Efficiency -- 4.3.1 Twelve Types of Soergel Distance Measures for q-ROFSs -- 4.3.2 Twelve Types of Weighted Soergel Distance Measures for q-ROFSs -- 4.3.3 The Validation/Efficiency of SoDMs and SoSMs for q-ROFSs -- 4.4 Applications of SoDMs -- 4.4.1 Proposed Decision-Making Method.
4.4.2 Illustrative Examples -- 4.5 Comparison Analysis -- 4.6 Sensitivity Analysis and Advantages of SoDMs -- 4.6.1 Sensitivity Analysis of SoDMs for the Value of q -- 4.6.2 Advantages of Proposed Approaches -- 4.6.3 Limitations of Proposed Approaches -- 4.7 Conclusion -- References -- 5 TOPSIS Techniques on q-Rung Orthopair Fuzzy Sets and Its Extensions -- 5.1 Introduction -- 5.2 Preliminaries -- 5.2.1 TOPSIS -- 5.3 TOPSIS Techniques on q-ROFS -- 5.4 Combined Weighting TOPSIS MADM Using q-ROHFS -- 5.5 TOPSIS Techniques on q-ROFSfS -- 5.6 Applications -- 5.7 Conclusions -- References -- 6 Knowledge Measure-Based q-Rung Orthopair Fuzzy Inventory Model -- 6.1 Introduction -- 6.1.1 Literature Review -- 6.1.2 Research Gap and the Contribution -- 6.2 Preliminaries -- 6.3 Model Formulation -- 6.3.1 Case (I): Replacement of the Faulty Option by Warranty Claiming and Repair Option -- 6.3.2 Case (ii): Replacement of the Faulty Option by Warranty Claiming and the Emergency Purchase Option -- 6.3.3 Inventory Model with q-Rung Orthopair Fuzzy Variables -- 6.3.4 Vendor's Optimal Policy -- 6.4 Numerical Computation -- 6.4.1 Sensitive Analysis -- 6.4.2 Comparison Study -- 6.5 Conclusion -- Appendix -- References -- 7 Higher Type q-Rung Orthopair Fuzzy Sets: Interval Analysis -- 7.1 Introduction -- 7.2 Basic Concepts of q-RIVOFSs -- 7.3 Some Novel Measures for q-RIVOFSs -- 7.3.1 Cross-Entropy Measure for q-RIVOFSs -- 7.3.2 Hausdorff Distance for q-RIVOFSs -- 7.4 Multi-Attribute Decision-Making Method Under q-RIVOF Circumstances -- 7.4.1 TODIM Method with q-RIVOFSs -- 7.5 Illustrative Example -- 7.5.1 Case Description -- 7.5.2 Illustration of the Proposed Q-RIVOFS-TODIM Approach -- 7.5.3 Sensitivity Analysis -- 7.5.4 Comparative Analysis -- 7.6 Conclusion -- References. 8 Evidence-Based Cloud Vendor Assessment with Generalized Orthopair Fuzzy Information and Partial Weight Data -- 8.1 Introduction -- 8.2 Literature Review -- 8.2.1 CV Selection Using Decision Models -- 8.2.2 GOFS-Based Decision Approaches -- 8.3 A New Scientific Framework for CV Selection -- 8.3.1 Preliminaries -- 8.3.2 Mathematical Model with GOFS -- 8.3.3 Evidence-Based Ranking Algorithm with GOFS -- 8.4 Real Case Example-Selection of CVs -- 8.5 Comparative Analysis -- 8.6 Conclusion -- References -- 9 Supplier Selection Process Based on CODAS Method Using q-Rung Orthopair Fuzzy Information -- 9.1 Introduction -- 9.2 q-Rung Orthopair Fuzzy Sets (q-ROFS) -- 9.2.1 Algebraic Operations q-ROFS -- 9.3 Combinative Distance-Based Assessment (CODAS) -- 9.3.1 Steps for the CODAS Method -- 9.4 CODAS and q-Rung Orthopair Fuzzy Sets for the Supplier Selection Process -- 9.5 Case Numeric -- 9.6 Discussions -- 9.7 Conclusions -- References -- 10 Group Decision-Making Framework with Generalized Orthopair Fuzzy 2-Tuple Linguistic Information -- 10.1 Introduction -- 10.2 Preliminaries -- 10.2.1 The 2-Tuple Linguistic Representation Model -- 10.2.2 The MSM Operator and its Weighted Form -- 10.3 The GOFTLMSM Aggregation Operator and its Weighted Form -- 10.3.1 The GOFTLMSM Operator -- 10.3.2 The GOFTLWMSM Operator -- 10.4 The GOFTLDMSM Aggregation Operator and its Weighted Form -- 10.4.1 The GOFTLDMSM Operator -- 10.4.2 The GOFTLWDMSM Operator -- 10.5 An MAGDM Model with GOFTL Information -- 10.6 Illustrative Example and Discussion -- 10.6.1 Evaluation Process of the Proposed Method -- 10.6.2 Sensitivity Analysis -- 10.6.3 Comparative Analysis -- 10.6.4 Advantages and Superiorities of the Proposed Work -- 10.7 Conclusions -- References -- 11 3PL Service Provider Selection with q-Rung Orthopair Fuzzy Based CODAS Method -- 11.1 Introduction -- 11.2 Literature Survey. 11.3 q-ROF CODAS Method -- 11.3.1 q-Rung Orthopair Fuzzy Sets -- 11.3.2 q-ROF CODAS Methodology -- 11.4 Case Study -- 11.5 Conclusion -- References -- 12 An Integrated Proximity Indexed Value and q-Rung Orthopair Fuzzy Decision-Making Model for Prioritization of Green Campus Transportation -- 12.1 Introduction -- 12.2 Literature Review -- 12.3 Case Study -- 12.3.1 Definition of Alternatives and Criteria -- 12.4 Preliminaries -- 12.5 Proposed Methodologies -- 12.5.1 Proximity Indexed Value (PIV) Method -- 12.5.2 Proposed q-ROF PIV Method -- 12.6 Experimental Results -- 12.7 Discussion -- 12.8 Conclusion -- References -- 13 Platform-Based Corporate Social Responsibility Evaluation with Three-Way Group Decisions Under Q-Rung Orthopair Fuzzy Environment -- 13.1 Introduction -- 13.2 Preliminaries -- 13.2.1 q-rung Orthopair Fuzzy Sets (q-ROFSs) -- 13.2.2 Three Way Decisions (TWDs) -- 13.3 CSR Evaluation Method Based on TWDs with q-ROFSs -- 13.3.1 Information Fusion Method -- 13.3.2 CSR Classification of Platform-Based Enterprises with TWDs -- 13.4 An Illustrative Example -- 13.4.1 Decision Analysis with Our Proposed Method -- 13.4.2 Comparative Experiment -- 13.4.3 Sensitivity Analysis -- 13.5 Conclusions -- References -- 14 MARCOS Technique by Using q-Rung Orthopair Fuzzy Sets for Evaluating the Performance of Insurance Companies in Terms of Healthcare Services -- 14.1 Introduction -- 14.2 Preliminaries -- 14.3 Q-ROF-MARCOS Method -- 14.4 Analysis of Healthcare Services Under Q-ROFS-MARCOS Technique -- 14.5 Sensitivity Analysis -- 14.6 Conclusion -- References -- 15 Interval Complex q-Rung Orthopair Fuzzy Aggregation Operators and Their Applications in Cite Selection of Electric Vehicle -- 15.1 Introduction -- 15.2 Preliminaries -- 15.3 Interval Complex q-Rung Orthopair Fuzzy Sets. 15.4 Interval Complex q-Rung Orthopair Fuzzy Aggregate Operators for MADM Problems -- 15.5 The MADM Model Based on IVCq-ROFWA and IVCq-ROFGA Operators -- 15.6 An Illustrative Example for the Validation of the Proposed MADM Model -- 15.7 Conclusion and Future Work -- References -- 16 A Novel Fermatean Fuzzy Analytic Hierarchy Process Proposition and Its Usage for Supplier Selection Problem in Industry 4.0 Transition -- 16.1 Introduction -- 16.2 Supplier Selection in Industry 4.0 Transition -- 16.3 Preliminaries: Fermatean Fuzzy Sets -- 16.4 A Novel Fermatean Fuzzy AHP Extension -- 16.5 An Application in Turkey -- 16.6 Discussion and Concluding Remarks -- References -- 17 Pentagonal q-Rung Orthopair Numbers and Their Applications -- 17.1 Introduction -- 17.2 Preliminary -- 17.3 Pentagonal q-Rung Orthopair Numbers -- 17.4 Multi-criteria Decision-Making Method Based on Pq-RO-Numbers -- 17.5 Conclusion -- References -- 18 q-Rung Orthopair Fuzzy Soft Set-Based Multi-criteria Decision-Making -- 18.1 Introduction -- 18.2 q-ROFSSs -- 18.2.1 Weighted SM for q-ROFSSs -- 18.3 MCDM Using q-Rung Orthopair Fuzzy Soft Information -- 18.4 MCDM with TOPSIS Approach Based on q-ROFSSs -- 18.5 MCDM Using q-ROFS VIKOR Method -- 18.6 Practical implementation of proposed SM related to COVID-19 -- 18.7 Conclusion -- References -- 19 Development of Heronian Mean-Based Aggregation Operators Under Interval-Valued Dual Hesitant q-Rung Orthopair Fuzzy Environments for Multicriteria Decision-Making -- 19.1 Introduction -- 19.2 Preliminaries -- 19.2.1 DHq-ROFS -- 19.2.2 IVDHq-ROFS -- 19.2.3 Operations on IVDHq-ROFNs -- 19.2.4 HM Operator -- 19.2.5 GHM Operator -- 19.3 HM-Based IVDHq-ROF Aggregation Operators and Its Properties -- 19.3.1 IVDHq-ROFHM Operator -- 19.3.2 IVDHq-ROFWHM Operator -- 19.3.3 IVDHq-OFGHM Operator -- 19.3.4 IVDHq-ROFWGHM Operator. 19.4 Approach to MCDM with HM-Based IVDHq-ROF Information. |
Record Nr. | UNISA-996490347203316 |
Singapore : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Q-Rung orthopair fuzzy sets : theory and applications. / / edited by Harish Garg |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (558 pages) |
Disciplina | 511.3223 |
Soggetto topico |
Fuzzy sets
Presa de decisions Matemàtica Conjunts borrosos |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9789811914492
9789811914485 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- About the Editor -- 1 q-Rung Orthopair Fuzzy Supra Topological Applications in Data Mining Process -- 1.1 Introduction -- 1.2 Preliminary -- 1.3 q-Rung Orthopair Fuzzy Supra Topological Spaces -- 1.4 Mappings of q-Rung Orthopair Fuzzy Spaces -- 1.5 Algorithm for Data Mining Problem Via q-Rung Orthopair Fuzzy Supra Topology -- 1.6 Numerical Example -- 1.7 Conclusion and Future Work -- References -- 2 q-Rung Orthopair Fuzzy Soft Topology with Multi-attribute Decision-Making -- 2.1 Introduction -- 2.2 Some Elementary Models -- 2.3 q-Rung Orthopair Fuzzy Soft Sets -- 2.4 q-Rung Orthopair Fuzzy Soft Topology -- 2.4.1 q-ROFS Separation Axioms -- 2.5 Multi-attribute Decision-Making -- 2.5.1 Numerical Application -- 2.5.2 Generalized Choice Value Method -- 2.6 Conclusion -- References -- 3 Decision-Making on Patients' Medical Status Based on a q-Rung Orthopair Fuzzy Max-Min-Max Composite Relation -- 3.1 Introduction -- 3.2 Preliminaries -- 3.2.1 q-Rung Orthopair Fuzzy Sets -- 3.3 q-Rung Orthopair Fuzzy Max-Min-Max Composite Relation -- 3.3.1 Numerical Application -- 3.4 Application of qROFMMMCR in Disease Diagnosis -- 3.4.1 qROFMMMCR in Terms of Patients and Diseases with Respect to Symptoms -- 3.4.2 Experiment of Disease Diagnosis -- 3.5 Conclusion -- References -- 4 Soergel Distance Measures for q-Rung Orthopair Fuzzy Sets and Their Applications -- 4.1 Introduction -- 4.2 Background -- 4.2.1 q-Rung Orthopair Fuzzy Sets -- 4.2.2 Some Existing Information Measures for q-ROFSs -- 4.3 Soergel Distance Measures for q-ROFSs and Their Validation/Efficiency -- 4.3.1 Twelve Types of Soergel Distance Measures for q-ROFSs -- 4.3.2 Twelve Types of Weighted Soergel Distance Measures for q-ROFSs -- 4.3.3 The Validation/Efficiency of SoDMs and SoSMs for q-ROFSs -- 4.4 Applications of SoDMs -- 4.4.1 Proposed Decision-Making Method.
4.4.2 Illustrative Examples -- 4.5 Comparison Analysis -- 4.6 Sensitivity Analysis and Advantages of SoDMs -- 4.6.1 Sensitivity Analysis of SoDMs for the Value of q -- 4.6.2 Advantages of Proposed Approaches -- 4.6.3 Limitations of Proposed Approaches -- 4.7 Conclusion -- References -- 5 TOPSIS Techniques on q-Rung Orthopair Fuzzy Sets and Its Extensions -- 5.1 Introduction -- 5.2 Preliminaries -- 5.2.1 TOPSIS -- 5.3 TOPSIS Techniques on q-ROFS -- 5.4 Combined Weighting TOPSIS MADM Using q-ROHFS -- 5.5 TOPSIS Techniques on q-ROFSfS -- 5.6 Applications -- 5.7 Conclusions -- References -- 6 Knowledge Measure-Based q-Rung Orthopair Fuzzy Inventory Model -- 6.1 Introduction -- 6.1.1 Literature Review -- 6.1.2 Research Gap and the Contribution -- 6.2 Preliminaries -- 6.3 Model Formulation -- 6.3.1 Case (I): Replacement of the Faulty Option by Warranty Claiming and Repair Option -- 6.3.2 Case (ii): Replacement of the Faulty Option by Warranty Claiming and the Emergency Purchase Option -- 6.3.3 Inventory Model with q-Rung Orthopair Fuzzy Variables -- 6.3.4 Vendor's Optimal Policy -- 6.4 Numerical Computation -- 6.4.1 Sensitive Analysis -- 6.4.2 Comparison Study -- 6.5 Conclusion -- Appendix -- References -- 7 Higher Type q-Rung Orthopair Fuzzy Sets: Interval Analysis -- 7.1 Introduction -- 7.2 Basic Concepts of q-RIVOFSs -- 7.3 Some Novel Measures for q-RIVOFSs -- 7.3.1 Cross-Entropy Measure for q-RIVOFSs -- 7.3.2 Hausdorff Distance for q-RIVOFSs -- 7.4 Multi-Attribute Decision-Making Method Under q-RIVOF Circumstances -- 7.4.1 TODIM Method with q-RIVOFSs -- 7.5 Illustrative Example -- 7.5.1 Case Description -- 7.5.2 Illustration of the Proposed Q-RIVOFS-TODIM Approach -- 7.5.3 Sensitivity Analysis -- 7.5.4 Comparative Analysis -- 7.6 Conclusion -- References. 8 Evidence-Based Cloud Vendor Assessment with Generalized Orthopair Fuzzy Information and Partial Weight Data -- 8.1 Introduction -- 8.2 Literature Review -- 8.2.1 CV Selection Using Decision Models -- 8.2.2 GOFS-Based Decision Approaches -- 8.3 A New Scientific Framework for CV Selection -- 8.3.1 Preliminaries -- 8.3.2 Mathematical Model with GOFS -- 8.3.3 Evidence-Based Ranking Algorithm with GOFS -- 8.4 Real Case Example-Selection of CVs -- 8.5 Comparative Analysis -- 8.6 Conclusion -- References -- 9 Supplier Selection Process Based on CODAS Method Using q-Rung Orthopair Fuzzy Information -- 9.1 Introduction -- 9.2 q-Rung Orthopair Fuzzy Sets (q-ROFS) -- 9.2.1 Algebraic Operations q-ROFS -- 9.3 Combinative Distance-Based Assessment (CODAS) -- 9.3.1 Steps for the CODAS Method -- 9.4 CODAS and q-Rung Orthopair Fuzzy Sets for the Supplier Selection Process -- 9.5 Case Numeric -- 9.6 Discussions -- 9.7 Conclusions -- References -- 10 Group Decision-Making Framework with Generalized Orthopair Fuzzy 2-Tuple Linguistic Information -- 10.1 Introduction -- 10.2 Preliminaries -- 10.2.1 The 2-Tuple Linguistic Representation Model -- 10.2.2 The MSM Operator and its Weighted Form -- 10.3 The GOFTLMSM Aggregation Operator and its Weighted Form -- 10.3.1 The GOFTLMSM Operator -- 10.3.2 The GOFTLWMSM Operator -- 10.4 The GOFTLDMSM Aggregation Operator and its Weighted Form -- 10.4.1 The GOFTLDMSM Operator -- 10.4.2 The GOFTLWDMSM Operator -- 10.5 An MAGDM Model with GOFTL Information -- 10.6 Illustrative Example and Discussion -- 10.6.1 Evaluation Process of the Proposed Method -- 10.6.2 Sensitivity Analysis -- 10.6.3 Comparative Analysis -- 10.6.4 Advantages and Superiorities of the Proposed Work -- 10.7 Conclusions -- References -- 11 3PL Service Provider Selection with q-Rung Orthopair Fuzzy Based CODAS Method -- 11.1 Introduction -- 11.2 Literature Survey. 11.3 q-ROF CODAS Method -- 11.3.1 q-Rung Orthopair Fuzzy Sets -- 11.3.2 q-ROF CODAS Methodology -- 11.4 Case Study -- 11.5 Conclusion -- References -- 12 An Integrated Proximity Indexed Value and q-Rung Orthopair Fuzzy Decision-Making Model for Prioritization of Green Campus Transportation -- 12.1 Introduction -- 12.2 Literature Review -- 12.3 Case Study -- 12.3.1 Definition of Alternatives and Criteria -- 12.4 Preliminaries -- 12.5 Proposed Methodologies -- 12.5.1 Proximity Indexed Value (PIV) Method -- 12.5.2 Proposed q-ROF PIV Method -- 12.6 Experimental Results -- 12.7 Discussion -- 12.8 Conclusion -- References -- 13 Platform-Based Corporate Social Responsibility Evaluation with Three-Way Group Decisions Under Q-Rung Orthopair Fuzzy Environment -- 13.1 Introduction -- 13.2 Preliminaries -- 13.2.1 q-rung Orthopair Fuzzy Sets (q-ROFSs) -- 13.2.2 Three Way Decisions (TWDs) -- 13.3 CSR Evaluation Method Based on TWDs with q-ROFSs -- 13.3.1 Information Fusion Method -- 13.3.2 CSR Classification of Platform-Based Enterprises with TWDs -- 13.4 An Illustrative Example -- 13.4.1 Decision Analysis with Our Proposed Method -- 13.4.2 Comparative Experiment -- 13.4.3 Sensitivity Analysis -- 13.5 Conclusions -- References -- 14 MARCOS Technique by Using q-Rung Orthopair Fuzzy Sets for Evaluating the Performance of Insurance Companies in Terms of Healthcare Services -- 14.1 Introduction -- 14.2 Preliminaries -- 14.3 Q-ROF-MARCOS Method -- 14.4 Analysis of Healthcare Services Under Q-ROFS-MARCOS Technique -- 14.5 Sensitivity Analysis -- 14.6 Conclusion -- References -- 15 Interval Complex q-Rung Orthopair Fuzzy Aggregation Operators and Their Applications in Cite Selection of Electric Vehicle -- 15.1 Introduction -- 15.2 Preliminaries -- 15.3 Interval Complex q-Rung Orthopair Fuzzy Sets. 15.4 Interval Complex q-Rung Orthopair Fuzzy Aggregate Operators for MADM Problems -- 15.5 The MADM Model Based on IVCq-ROFWA and IVCq-ROFGA Operators -- 15.6 An Illustrative Example for the Validation of the Proposed MADM Model -- 15.7 Conclusion and Future Work -- References -- 16 A Novel Fermatean Fuzzy Analytic Hierarchy Process Proposition and Its Usage for Supplier Selection Problem in Industry 4.0 Transition -- 16.1 Introduction -- 16.2 Supplier Selection in Industry 4.0 Transition -- 16.3 Preliminaries: Fermatean Fuzzy Sets -- 16.4 A Novel Fermatean Fuzzy AHP Extension -- 16.5 An Application in Turkey -- 16.6 Discussion and Concluding Remarks -- References -- 17 Pentagonal q-Rung Orthopair Numbers and Their Applications -- 17.1 Introduction -- 17.2 Preliminary -- 17.3 Pentagonal q-Rung Orthopair Numbers -- 17.4 Multi-criteria Decision-Making Method Based on Pq-RO-Numbers -- 17.5 Conclusion -- References -- 18 q-Rung Orthopair Fuzzy Soft Set-Based Multi-criteria Decision-Making -- 18.1 Introduction -- 18.2 q-ROFSSs -- 18.2.1 Weighted SM for q-ROFSSs -- 18.3 MCDM Using q-Rung Orthopair Fuzzy Soft Information -- 18.4 MCDM with TOPSIS Approach Based on q-ROFSSs -- 18.5 MCDM Using q-ROFS VIKOR Method -- 18.6 Practical implementation of proposed SM related to COVID-19 -- 18.7 Conclusion -- References -- 19 Development of Heronian Mean-Based Aggregation Operators Under Interval-Valued Dual Hesitant q-Rung Orthopair Fuzzy Environments for Multicriteria Decision-Making -- 19.1 Introduction -- 19.2 Preliminaries -- 19.2.1 DHq-ROFS -- 19.2.2 IVDHq-ROFS -- 19.2.3 Operations on IVDHq-ROFNs -- 19.2.4 HM Operator -- 19.2.5 GHM Operator -- 19.3 HM-Based IVDHq-ROF Aggregation Operators and Its Properties -- 19.3.1 IVDHq-ROFHM Operator -- 19.3.2 IVDHq-ROFWHM Operator -- 19.3.3 IVDHq-OFGHM Operator -- 19.3.4 IVDHq-ROFWGHM Operator. 19.4 Approach to MCDM with HM-Based IVDHq-ROF Information. |
Record Nr. | UNINA-9910592994203321 |
Singapore : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Quantitative decisions in drug development / / Christy Chuang-Stein, Simon Kirby |
Autore | Chuang-Stein Christy |
Edizione | [Second edition.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (354 pages) |
Disciplina | 615.19 |
Collana | Springer Series in Pharmaceutical Statistics |
Soggetto topico |
Drug development - Decision making
Drug development - Economic aspects Desenvolupament de medicaments Presa de decisions |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-79731-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910497090203321 |
Chuang-Stein Christy
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Cham, Switzerland : , : Springer, , [2021] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Quantitative decisions in drug development / / Christy Chuang-Stein, Simon Kirby |
Autore | Chuang-Stein Christy |
Edizione | [Second edition.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (354 pages) |
Disciplina | 615.19 |
Collana | Springer Series in Pharmaceutical Statistics |
Soggetto topico |
Drug development - Decision making
Drug development - Economic aspects Desenvolupament de medicaments Presa de decisions |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-79731-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466409503316 |
Chuang-Stein Christy
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||
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Research methods and data analysis for business decisions : a primer using SPSS / / James E. Sallis [and three others] |
Autore | Sallis James <1959-> |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (263 pages) |
Disciplina | 650.072 |
Collana | Classroom Companion: Business |
Soggetto topico |
Business - Decision making - Research
Business - Data processing - Research Negocis Presa de decisions Processament de dades |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-84421-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- Part I: Designing the Study -- 1: Research Methods and Philosophy of Science -- 1.1 Introduction -- 1.2 Two Alternatives: Constructivism Vs. Positivism -- 1.3 Falsificationism, Theories, and Hypotheses -- 1.4 Decision Processes -- 1.4.1 Models of Decision-Making -- 1.4.2 Models of Politics and Power -- 1.4.3 Models of Ill-Defined Preferences and Fluid Participation -- 1.5 Summary -- References -- 2: The Research Process and Problem Formulation -- 2.1 Introduction -- 2.2 Problems, Opportunities, and Symptoms -- 2.3 The Research Purpose and Research Question(s) -- Example 2.1 -- Example 2.2 -- 2.4 The Research Process -- 2.5 Summary -- Reference -- 3: Research Design -- 3.1 Introduction -- 3.2 Exploratory Design -- 3.2.1 Focus Groups -- 3.2.2 Individual In-Depth Interviews -- 3.2.3 Other Techniques -- 3.3 Descriptive Design -- 3.3.1 Survey Research with Questionnaires -- 3.3.2 Observation and Diaries -- 3.4 Causal Design -- 3.4.1 True Experiments (Lab or Field) -- 3.4.2 Quasi-Experiments -- 3.4.3 Lab Experiments -- 3.4.4 Field Experiments -- 3.4.5 Internal and External Validity in Experiments -- 3.5 Choice of Research Design -- 3.5.1 Using Theory -- 3.6 Validity and Reliability -- 3.7 Summary -- Reference -- Part II: Data Collection -- 4: Secondary Data and Observation -- 4.1 Introduction -- 4.2 Main Types of Secondary Data -- 4.3 Internal and External Sources -- 4.3.1 Big Data -- 4.3.2 Public Sources -- 4.3.3 Scholarly Literature -- 4.3.4 Standardized Research Services -- What Do We Mean by Standardization? -- Standardized Panel Data -- 4.4 Sources of Error in Secondary Data -- 4.5 Collecting Data by Observation -- 4.5.1 Types of Observation -- 4.5.2 Measuring Emotions by Observation -- 4.5.3 Using the Observation Method -- 4.6 Summary -- Reference -- 5: Qualitative Methods -- 5.1 Introduction -- 5.2 Focus Groups.
5.3 Individual In-Depth Interviews -- 5.4 Projective Techniques -- 5.5 Content Analysis of Social Media -- 5.6 Problem Formulation and Qualitative Data Analysis -- Example 5.1 -- 5.7 Summary -- References -- 6: Questionnaire Surveys -- 6.1 Introduction -- 6.2 Constructs and Operationalization -- 6.3 Validity -- 6.3.1 Content Validity -- 6.3.2 Construct Validity -- 6.3.3 Face Validity -- 6.3.4 Statistical Conclusion Validity -- 6.4 Reliability -- 6.5 Measurement Scales -- 6.5.1 Parametric Versus Nonparametric Methods -- 6.6 Attitude and Perception Measurement -- 6.7 Scale Values -- 6.8 Question Formulation and Order -- 6.8.1 Question Design -- 6.8.2 Pre-test -- 6.9 Collecting the Data -- 6.9.1 Personal Interviews -- 6.9.2 Online Solutions -- 6.9.3 Telephone Interviews -- 6.9.4 Postal Surveys -- 6.10 Summary -- References -- 7: Sampling -- 7.1 Introduction -- 7.2 Define the Population and Sampling Frame -- 7.2.1 Sampling Frame -- 7.3 Sampling Method -- 7.3.1 Probability Samples -- 7.3.2 Non-probability Samples -- 7.4 Sample Size -- 7.5 Error Sources -- 7.5.1 Missing Observations -- 7.6 Summary -- References -- Part III: Quantitative Data Analysis -- 8: Simple Analysis Techniques -- 8.1 Introduction -- 8.2 Using Software -- 8.3 Simple Analysis Techniques -- 8.4 Cleaning the Data -- 8.5 Analytical Techniques for One Variable -- Example 8.1 Descriptive Statistics -- 8.6 Analytical Techniques for Relationships between Variables -- Example 8.2 -- 8.7 Summary -- References -- 9: Hypothesis Testing -- 9.1 Introduction -- 9.2 Hypothesis Tests and Error -- 9.3 The T-test -- Example 9.1 -- Example 9.2 -- Example 9.3 -- 9.4 Analysis of Variance: One-way ANOVA -- 9.5 Chi-square Test (Chi2) -- 9.6 Testing Correlation Coefficients -- 9.7 Summary -- 10: Regression Analysis -- 10.1 Introduction -- 10.2 Simple Regression Analysis. 10.3 Estimating Regression Parameters -- Example 10.1 -- Example 10.2 -- 10.4 The T-test -- Example 10.3 -- 10.5 Multiple Regression Analysis -- 10.6 Explained Variance -- 10.7 The ANOVA Table and F-test -- 10.8 Too Many or Too Few Independent Variables -- 10.9 Regression with Dummy Variables -- 10.10 Dummy Regression: An Alternative Analysis of Covariance ANCOVA -- 10.11 The Classic Assumptions of Multiple Regression -- 10.12 Summary -- References -- 11: Cluster Analysis and Segmentation -- 11.1 Introduction -- 11.2 Similarities Between Groups in the Data -- 11.3 Two Branches of Cluster Methods -- 11.4 Hierarchical Clustering -- 11.5 Non-hierarchical Clustering (K-Means) -- 11.6 Interpretation and Further Use of the Clusters -- 11.7 Summary -- 12: Factor Analysis -- 12.1 Introduction -- 12.2 Exploratory Factor Analysis -- 12.3 Principal Component Analysis -- 12.4 Running Exploratory Factor Analysis -- 12.5 Unidimensionality -- 12.6 Confirmatory Factor Analysis -- 12.7 Summary -- References -- Part IV: Reporting -- 13: Reporting Findings -- 13.1 Introduction -- 13.2 The Report -- 13.2.1 Writing Style -- 13.3 The Structure of a Research Report -- 13.3.1 Referencing -- 13.4 Implementation -- 13.5 Advice for Students -- 13.6 Summary -- Reference -- Index. |
Record Nr. | UNISA-996466410103316 |
Sallis James <1959->
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Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Research methods and data analysis for business decisions : a primer using SPSS / / James E. Sallis [and three others] |
Autore | Sallis James <1959-> |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (263 pages) |
Disciplina | 650.072 |
Collana | Classroom Companion: Business |
Soggetto topico |
Business - Decision making - Research
Business - Data processing - Research Negocis Presa de decisions Processament de dades |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-84421-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- Part I: Designing the Study -- 1: Research Methods and Philosophy of Science -- 1.1 Introduction -- 1.2 Two Alternatives: Constructivism Vs. Positivism -- 1.3 Falsificationism, Theories, and Hypotheses -- 1.4 Decision Processes -- 1.4.1 Models of Decision-Making -- 1.4.2 Models of Politics and Power -- 1.4.3 Models of Ill-Defined Preferences and Fluid Participation -- 1.5 Summary -- References -- 2: The Research Process and Problem Formulation -- 2.1 Introduction -- 2.2 Problems, Opportunities, and Symptoms -- 2.3 The Research Purpose and Research Question(s) -- Example 2.1 -- Example 2.2 -- 2.4 The Research Process -- 2.5 Summary -- Reference -- 3: Research Design -- 3.1 Introduction -- 3.2 Exploratory Design -- 3.2.1 Focus Groups -- 3.2.2 Individual In-Depth Interviews -- 3.2.3 Other Techniques -- 3.3 Descriptive Design -- 3.3.1 Survey Research with Questionnaires -- 3.3.2 Observation and Diaries -- 3.4 Causal Design -- 3.4.1 True Experiments (Lab or Field) -- 3.4.2 Quasi-Experiments -- 3.4.3 Lab Experiments -- 3.4.4 Field Experiments -- 3.4.5 Internal and External Validity in Experiments -- 3.5 Choice of Research Design -- 3.5.1 Using Theory -- 3.6 Validity and Reliability -- 3.7 Summary -- Reference -- Part II: Data Collection -- 4: Secondary Data and Observation -- 4.1 Introduction -- 4.2 Main Types of Secondary Data -- 4.3 Internal and External Sources -- 4.3.1 Big Data -- 4.3.2 Public Sources -- 4.3.3 Scholarly Literature -- 4.3.4 Standardized Research Services -- What Do We Mean by Standardization? -- Standardized Panel Data -- 4.4 Sources of Error in Secondary Data -- 4.5 Collecting Data by Observation -- 4.5.1 Types of Observation -- 4.5.2 Measuring Emotions by Observation -- 4.5.3 Using the Observation Method -- 4.6 Summary -- Reference -- 5: Qualitative Methods -- 5.1 Introduction -- 5.2 Focus Groups.
5.3 Individual In-Depth Interviews -- 5.4 Projective Techniques -- 5.5 Content Analysis of Social Media -- 5.6 Problem Formulation and Qualitative Data Analysis -- Example 5.1 -- 5.7 Summary -- References -- 6: Questionnaire Surveys -- 6.1 Introduction -- 6.2 Constructs and Operationalization -- 6.3 Validity -- 6.3.1 Content Validity -- 6.3.2 Construct Validity -- 6.3.3 Face Validity -- 6.3.4 Statistical Conclusion Validity -- 6.4 Reliability -- 6.5 Measurement Scales -- 6.5.1 Parametric Versus Nonparametric Methods -- 6.6 Attitude and Perception Measurement -- 6.7 Scale Values -- 6.8 Question Formulation and Order -- 6.8.1 Question Design -- 6.8.2 Pre-test -- 6.9 Collecting the Data -- 6.9.1 Personal Interviews -- 6.9.2 Online Solutions -- 6.9.3 Telephone Interviews -- 6.9.4 Postal Surveys -- 6.10 Summary -- References -- 7: Sampling -- 7.1 Introduction -- 7.2 Define the Population and Sampling Frame -- 7.2.1 Sampling Frame -- 7.3 Sampling Method -- 7.3.1 Probability Samples -- 7.3.2 Non-probability Samples -- 7.4 Sample Size -- 7.5 Error Sources -- 7.5.1 Missing Observations -- 7.6 Summary -- References -- Part III: Quantitative Data Analysis -- 8: Simple Analysis Techniques -- 8.1 Introduction -- 8.2 Using Software -- 8.3 Simple Analysis Techniques -- 8.4 Cleaning the Data -- 8.5 Analytical Techniques for One Variable -- Example 8.1 Descriptive Statistics -- 8.6 Analytical Techniques for Relationships between Variables -- Example 8.2 -- 8.7 Summary -- References -- 9: Hypothesis Testing -- 9.1 Introduction -- 9.2 Hypothesis Tests and Error -- 9.3 The T-test -- Example 9.1 -- Example 9.2 -- Example 9.3 -- 9.4 Analysis of Variance: One-way ANOVA -- 9.5 Chi-square Test (Chi2) -- 9.6 Testing Correlation Coefficients -- 9.7 Summary -- 10: Regression Analysis -- 10.1 Introduction -- 10.2 Simple Regression Analysis. 10.3 Estimating Regression Parameters -- Example 10.1 -- Example 10.2 -- 10.4 The T-test -- Example 10.3 -- 10.5 Multiple Regression Analysis -- 10.6 Explained Variance -- 10.7 The ANOVA Table and F-test -- 10.8 Too Many or Too Few Independent Variables -- 10.9 Regression with Dummy Variables -- 10.10 Dummy Regression: An Alternative Analysis of Covariance ANCOVA -- 10.11 The Classic Assumptions of Multiple Regression -- 10.12 Summary -- References -- 11: Cluster Analysis and Segmentation -- 11.1 Introduction -- 11.2 Similarities Between Groups in the Data -- 11.3 Two Branches of Cluster Methods -- 11.4 Hierarchical Clustering -- 11.5 Non-hierarchical Clustering (K-Means) -- 11.6 Interpretation and Further Use of the Clusters -- 11.7 Summary -- 12: Factor Analysis -- 12.1 Introduction -- 12.2 Exploratory Factor Analysis -- 12.3 Principal Component Analysis -- 12.4 Running Exploratory Factor Analysis -- 12.5 Unidimensionality -- 12.6 Confirmatory Factor Analysis -- 12.7 Summary -- References -- Part IV: Reporting -- 13: Reporting Findings -- 13.1 Introduction -- 13.2 The Report -- 13.2.1 Writing Style -- 13.3 The Structure of a Research Report -- 13.3.1 Referencing -- 13.4 Implementation -- 13.5 Advice for Students -- 13.6 Summary -- Reference -- Index. |
Record Nr. | UNINA-9910508484803321 |
Sallis James <1959->
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Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Scissors and Rock [[electronic resource] ] : Game Theory for Those Who Manage / / by Manfred J. Holler, Barbara Klose-Ullmann |
Autore | Holler Manfred J |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (268 pages) |
Disciplina | 519.3 |
Soggetto topico |
Game theory
Leadership Game Theory Business Strategy/Leadership Game Theory, Economics, Social and Behav. Sciences Teoria de jocs Presa de decisions |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-44823-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Playing for Susan -- No Mathematics -- The Prisoners' Dilemma, but Who Are the Players? -- The Nash Equilibrium -- Sequence of Moves and the Extensive Form -- Chaos, Too Many and Too Few -- Which Strategy to Choose? -- Step-by-step: The Subgame Perfect Equilibrium -- Forever and a Day -- Mixed Strategies and Expected Utility -- More than Two Players -- Bargaining and Bargaining Games -- Goethe's Price Games, Auctions, and Other Surprises. |
Record Nr. | UNINA-9910409675603321 |
Holler Manfred J
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Surgical Decision Making in Geriatrics [[electronic resource] ] : A Comprehensive Multidisciplinary Approach / / edited by Rifat Latifi |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XXII, 452 p. 62 illus., 52 illus. in color.) |
Disciplina | 617 |
Soggetto topico |
Surgery
Geriatric nursing Cardiac surgery Rectum—Surgery Surgical transplantation Surgical oncology General Surgery Geriatric Care Cardiac Surgery Colorectal Surgery Transplant Surgery Surgical Oncology Cirurgia oncològica Geriatria Presa de decisions |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-47963-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Decision Making in Geriatric Surgery: More Surgery or Less Surgery? -- Is There Room for Common Sense in Surgical Decision-Making? -- Emergency Medicine Department Management of the Elderly -- Cardiovascular Comorbidities in the Elderly Undergoing Surgery -- Reversal of Oral Anticoagulants in the Elderly -- Frailty Assessment as Measurement of Physiologic Reserves in the Elderly -- Anesthetic Concerns in the Elderly -- Nutrition Support in Elderly Patients Undergoing Surgery -- Neurosurgery in the Elderly -- Caring for the Geriatrics Trauma Patient: The Challenges and the Opportunities -- ENT Surgery in the Elderly -- Thoracic Surgery in the Elderly -- Cardiac Surgery in the Elderly -- Surgical Decisions in Breast Cancer in the Elderly -- Emergency General Surgery in the Elderly -- Inguinal Hernia Repair in the Elderly -- Abdominal Wall Reconstruction in the Elderly: Techniques, Outcomes, and Pitfalls -- Bariatric Surgery in the Elderly -- Vascular Surgery in the Elderly -- Operative Surgical Oncology in the Elderly: Epidemiology, Opportunity, Outcome, and Ethical Issues -- Colorectal Surgery in the Elderly -- Liver Transplant Surgery in the Elderly -- Renal Transplantation in the Elderly -- Hepatopancreaticobiliary Surgery in the Elderly -- Plastic Surgery in the Elderly -- Drug Use in Elderly During Surgery: They Were Youngsters Once -- Urologic Surgery in the Elderly -- Gynecologic Surgery in the Elderly -- Postoperative Quality of Life in the Elderly -- Surgical Decision Making in the Elderly with Serious Surgical Illness: The Role of Palliative Care -- Family Involvement: What Does a Loved One Want at the End-of-Life? -- Spiritual and Religious Considerations in the Care of the Elderly -- Perioperative Care in the Elderly with Mental Health Issues -- How Do We Teach Medical Students to Care for the Elderly. |
Record Nr. | UNINA-9910416133003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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