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Advanced Optimization and Operations Research [[electronic resource] /] / by Asoke Kumar Bhunia, Laxminarayan Sahoo, Ali Akbar Shaikh
| Advanced Optimization and Operations Research [[electronic resource] /] / by Asoke Kumar Bhunia, Laxminarayan Sahoo, Ali Akbar Shaikh |
| Autore | Bhunia Asoke Kumar |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 621 p. 88 illus.) |
| Disciplina | 658.4034 |
| Collana | Springer Optimization and Its Applications |
| Soggetto topico |
Operations research
Management science Calculus of variations Mathematical optimization Decision making Operations Research, Management Science Calculus of Variations and Optimal Control; Optimization Continuous Optimization Discrete Optimization Operations Research/Decision Theory |
| ISBN | 981-329-967-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Mathematical Preliminaries -- 2. Introduction of OR -- 3. Revised Simplex Method -- 4. Dual Simplex Method -- 5. Bounded Variable Technique -- 6. Post-Optimality Analysis in Linear Programming Problem -- 7. Integer Programming -- 8. Convex Function -- 9. Basics of Unconstrained Optimization. 10. Constrained Optimization with Equality Constraints -- 11. Constrained Optimization with Inequality Constraints -- 12. Quadratic Programming -- 13. Inventory Control Theory -- 14. Project Management -- 15. Queueing Theory -- 16. Flow in Networks -- 17. Theory of Game. |
| Record Nr. | UNINA-9910370253303321 |
Bhunia Asoke Kumar
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Real life applications of multiple criteria decision making techniques in fuzzy domain / / editors, Laxminarayan Sahoo, Tapan Senapati, Ronald R. Yager
| Real life applications of multiple criteria decision making techniques in fuzzy domain / / editors, Laxminarayan Sahoo, Tapan Senapati, Ronald R. Yager |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (651 pages) |
| Disciplina | 658.403 |
| Collana | Studies in fuzziness and soft computing |
| Soggetto topico | Multiple criteria decision making |
| ISBN | 981-19-4929-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Editors and Contributors -- Generalized Dombi Weighted Aggregation Operators for Multi-attribute Decision Making with Hesitant Fuzzy Information -- 1 Introduction -- 2 Preliminaries -- 3 Generalized Dombi Operations and Generalized Dombi Weighted AOs on HFEs -- 3.1 Generalized Dombi (GD) Operations on HFEs -- 3.2 Hesitant Fuzzy GD Weighted AOs -- 4 Proposed MADM Methodology -- 5 Case Study -- 5.1 Problem Description -- 5.2 Problem Solution -- 6 Discussion -- 6.1 The Study of Variation of Parameters k and γ on Score Values -- 6.2 Sensitivity Assessment (SA) -- 6.3 Comparative Study -- 7 Conclusion -- References -- A Novel Extended Fermatean Fuzzy Framework for Evaluating the Challenges to Sustainable Smart City Development -- 1 Introduction -- 2 Challenges to SSCD -- 2.1 Lack of Operational Framework (C1) -- 2.2 Lack of Sustainable Strategies (C2) -- 2.3 Lack of Governance Configuration (C3) -- 2.4 Lack of Inclusivity (C4) -- 2.5 Lack of Transformation Strategy (C5) -- 2.6 Lack of Awareness (C6) -- 2.7 Lack of Public Engagement (C7) -- 2.8 Lack of Standards (C8) -- 2.9 Social Plausibility (C9) -- 2.10 Lack of Infrastructure (C10) -- 2.11 Lack of Human Resources (C11) -- 2.12 Financial Support (C12) -- 3 Research Method -- 3.1 Preliminaries -- 3.2 FF-MEREC-Topsis -- 4 Results -- 5 Comparative Analysis -- 6 Sensitivity Analysis -- 7 Discussion -- 8 Conclusions -- References -- Nonlinear Scaled Preferences in Linguistic Multi-criteria Group Decision Making -- 1 Introduction -- 2 Preliminaries -- 2.1 Linguistic Decision Making -- 2.2 2-Tuple Linguistic Model -- 2.3 Extended Comparative Linguistic Expressions with Symbolic Translation -- 2.4 Nonlinear Preferences in GDM: Extreme Values Amplifications -- 3 Linguistic Nonlinear Scales in Fuzzy TOPSIS.
3.1 Nonlinear Preferences for Linguistic Information: 2-Tuple EVAs -- 3.2 Nonlinear Preferences in ELICIT Information -- 3.3 Fuzzy TOPSIS with Linguistic Nonlinear Preferences -- 4 Case Study -- 5 Conclusions -- References -- Fermatean Fuzzy Combined Compromise Solution Multiple Expert Multiple Criteria Decision-Making Approach -- 1 Introduction -- 2 Preliminaries -- 3 Approach to FF-MEMCDM Based upon COCOSO -- 3.1 The Decision Issue Statement -- 3.2 FF-MEMCDM Based upon COCOSO -- 4 Empirical Study -- 4.1 Decision Analysis Procedure -- 4.2 Sensitivity Investigation -- 4.3 Validity Test -- 4.4 Comparison Analysis -- 5 Discussion -- 6 Conclusion -- References -- Multi-criteria Decision Analysis and Fuzzy-Decision-Making Trial and Evaluation Laboratory (MCDA and F-DEMATEL) Method for Flipped and Sustainable Mathematics Teaching as a Real-Life Application -- 1 Introduction -- 1.1 The MCDA and F-DEMATEL Method -- 1.2 Flipped Mathematics Classroom and ICTs -- 1.3 Pedagogical Adaptation of Sustainable Mathematics Teaching -- 2 Methodology -- 2.1 Study Sample -- 2.2 Criteria and Sub-criteria Choice Procedure with MCDA and F-DEMATEL -- 2.3 MCDA and F-DEMATEL Method -- 2.4 SAW and Susceptibility Study for Authentication Procedure -- 3 Case Study and Solution -- 3.1 MCDA and F-DEMATEL Results to Flipped and Sustainable Mathematics Teaching Adjusting Present Educational Changes -- 4 Discussion and Conclusion -- 4.1 Discussion -- 4.2 Conclusion -- References -- Accounting for Uncertainty and Disagreement in Multi-criteria Decision Making Using Triangular Fuzzy Numbers and Monte Carlo Simulation: A Case Study About Selecting Measures for Remediation of Agricultural Land After Radioactive Contamination -- 1 Introduction -- 2 Preliminaries -- 2.1 MCDM Framework -- 2.2 Linguistic Evaluation Scales and Fuzzy Set Theory -- 2.3 Group Decision Making. 2.4 Monte Carlo Simulation -- 3 Case Study: The Application of Fuzzy MCDM to Support Remediation of Agricultural Land After a Nuclear Accident -- 3.1 Materials and Methods -- 3.2 Results -- 4 Discussion -- 5 Conclusion -- References -- An IT2FBWM Model to Highlight the Significance of Factors Utilized in Determining Pandemic Hospital Site Selection -- 1 Introduction -- 2 Methodology -- 2.1 Preliminaries -- 2.2 Interval Type-2 Fuzzy Best-Worst Method (IT2FBWM) -- 3 IT2FBWM for Determining Criteria Importance of Pandemic Hospital Site Selection -- 4 Conclusion -- References -- Group Decision-Making Analysis Under Interval-Valued qq-rung Orthopair Fuzzy Soft Expert Sets -- 1 Introduction -- 2 Interval-Valued qq-rung Orthopair Fuzzy Soft Expert Sets -- 3 Application to MCGDM -- 3.1 Analysis of Modern Energy Development Methods -- 4 Comparative Analysis -- 5 Conclusions and Future Directions -- References -- Information Aggregation Approaches for Multi-criteria Applications -- 1 Introduction -- 2 Aggregation Approaches -- 2.1 Background -- 2.2 Conditioned Probability -- 2.3 Transformation Approaches -- 3 Aggregation Measures -- 3.1 Shannon Entropy -- 3.2 Gini Index -- 3.3 Renyi Entropy -- 3.4 Specificity Measure -- 3.5 Consistency Measure -- 3.6 Ranges of Measures -- 3.7 Evaluations of Aggregated Data -- 4 Conclusions -- References -- Generalized Interval-Valued Intuitionistic Hesitant Fuzzy Power Bonferroni Means and Their Applications to Multicriteria Decision Making -- 1 Introduction -- 1.1 Motivation -- 2 Fundamental Concepts -- 3 GIVIHFPBM and GIVIHFPGBM Operators -- 3.1 Properties of GIVIHFPBM and GIVIHFPGBM -- 4 An Approach to Multicriteria Decision Making with GIVIHFPBM and GIVIHFPGBM -- 5 Illustrative Example -- 5.1 A Comparative Study -- 6 Conclusions -- 6.1 Advantages of the Proposed MCDM Method -- 6.2 Future Scopes -- References. Modified Senapati and Yager's Fermatean Fuzzy Distance and Its Application in Students' Course Placement in Tertiary Institution -- 1 Introduction -- 2 Preliminaries -- 2.1 Fermatean Fuzzy Sets -- 2.2 Senapati and Yager's Distance Between Fermatean Fuzzy Sets -- 3 Modified Senapati and Yager's Distance Between Fermatean Fuzzy Sets -- 3.1 Some Properties of Modified Senapati and Yager's Fermatean Fuzzy Distance -- 3.2 Numerical Verifications -- 4 Course Allocations Based on Fermatean Fuzzy Distance Technique -- 4.1 Experimental Example -- 5 Conclusions -- References -- A Fuzzy Decision Making Inventory Model for Deteriorating Items Under Discounted Partial Advance-Partial Delayed Payment Strategy -- 1 Introduction -- 2 Assumptions and Notations -- 2.1 Assumptions -- 2.2 Notations -- 2.3 Decision Variable -- 3 Some Definitions -- 3.1 Fuzzy Sets -- 3.2 α-Cut -- 3.3 Convex Fuzzy Set -- 3.4 Normal Fuzzy Set -- 3.5 Fuzzy Number -- 3.6 Parabolic-Flat Fuzzy Number (PfFN) -- 3.7 Arithmetic Operations -- 3.8 Graded Mean Integration Representation (GMIR) Method for Defuzzification -- 4 Problem Description and Model Formulation -- 4.1 Case 1: Credit Period is Less Than Cycle Length ( M < -- T) -- 4.2 Case 2: When the Credit Period is Greater Than or Equal to Cycle Length (M geT) -- 5 Solution Procedure -- 6 Numerical Illustration -- 7 Sensitivity Analysis -- 8 Managerial Implications -- 9 Conclusion -- Appendix 1 -- Appendix 2 -- References -- The Effect of Solvents on the Oxidation of Acetaldehyde Using TOPSIS Method in a Fuzzy Environment -- 1 Introduction -- 2 The Fuzzy TOPSIS Approach is Comprised of Several Steps -- 2.1 When Making a Choice, Draw a Decision Matrix -- 2.2 Create a Normalized Decision Matrix to Use in Your Decision-Making -- 2.3 Make a Decision Matrix that is Weighted and Normalized. 2.4 For the Problem Statement, Compute the Fuzzy Favorable Ideal Solution (FPIS, A*) as Well as the Fuzzy Negative Ideal Alternative (FNIS, A−) -- 2.5 Identify the Gap Between Each Choice and the Fuzzy Optimistic Best Solution A*, as Well as the Gap with Each Choice and the Fuzzy Negative Ideal Way A- -- 2.6 Calculation of Closeness Coefficient -- 3 Conclusion -- References -- Solution of Airport Gate Reassignment Problem Under Uncertain Environment -- 1 Introduction -- 2 Preliminaries -- 3 Model Formulation -- 4 Solution Methodology -- 4.1 Algorithm -- 4.2 Model -- 4.3 MOGA Methodology [15] -- 5 Numerical Illustration -- 5.1 Problem Description -- 6 Results and Discussion -- 6.1 Result by Fuzzy Programming Technique -- 6.2 Results for MOGA -- 7 Conclusion -- References -- Bilevel Approach for E-Bidding Auction with Regret Theory -- 1 Introduction -- 2 Preliminaries -- 3 E-Bid Auction Models with Regret Theory -- 4 Application of E-Bidding Auction in Decision Making -- 4.1 Working Rule -- 4.2 Case Description -- 4.3 Comparison Analysis -- 5 Conclusion -- References -- Evaluation of Sustainable Green Building Indicators by Fuzzy Multi-Criteria Decision Making -- 1 Introduction -- 2 Literature Review -- 2.1 Green Building Rating Systems -- 2.2 Green Building and Its Applications in Multi-Criteria Decision-Making Methods -- 2.3 Studies with LBWA Method and Fuzzy LBWA Method -- 2.4 Proposed Green Building Rating Framework -- 3 Method -- 3.1 Fuzzy Theory -- 3.2 Fuzzy LBWA (Level-Based Weight Assessment) Method -- 3.3 Application of the F-LBWA Method to the Proposed Framework -- 4 Discussion -- References -- Solving Multi-objective Linear Fractional Programming Problem Utilizing (alpha comma beta right parenthesisα, β)-Cut in Triangular Intuitionistic Fuzzy Setup -- 1 Introduction -- 2 Preliminaries -- 3 Methodology for MOLFPP with AHP and VTM. 4 Problem Formulation and Methodology for MOLFPP. |
| Record Nr. | UNINA-9910633911503321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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