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Predictive and Simulation Analytics : Deeper Insights for Better Business Decisions / / by Walter R. Paczkowski
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  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Q-Rung orthopair fuzzy sets : theory and applications. / / edited by Harish Garg
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]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Q-Rung orthopair fuzzy sets : theory and applications. / / edited by Harish Garg
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]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Quantitative decisions in drug development / / Christy Chuang-Stein, Simon Kirby
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  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Quantitative decisions in drug development / / Christy Chuang-Stein, Simon Kirby
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  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Research methods and data analysis for business decisions : a primer using SPSS / / James E. Sallis [and three others]
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->  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Research methods and data analysis for business decisions : a primer using SPSS / / James E. Sallis [and three others]
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->  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Scissors and Rock [[electronic resource] ] : Game Theory for Those Who Manage / / by Manfred J. Holler, Barbara Klose-Ullmann
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  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Surgical Decision Making in Geriatrics [[electronic resource] ] : A Comprehensive Multidisciplinary Approach / / edited by Rifat Latifi
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui