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[null,"1.","Record Nr.",null,"UNISA996490347203316"]
[null,null,"Titolo",null,"Q-Rung orthopair fuzzy sets : theory and applications. / / edited by Harish Garg"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"9789811914492"]
[{"$nulls":4},"9789811914485"]
[null,null,"Descrizione fisica",null,"1 online resource (558 pages)"]
[null,null,"Disciplina",null,"511.3223"]
[null,null,"Soggetti",null,"Fuzzy sets"]
[{"$nulls":4},"Presa de decisions"]
[{"$nulls":4},"Matemàtica"]
[{"$nulls":4},"Conjunts borrosos"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"Soergel Distance Measures for q-Rung Orthopair Fuzzy Sets and Their Applications -- 4.1 Introduction -- 4.2 Background -- 4.2.1 q-Rung Orthopair Fuzzy Sets -- 4.2.2 Some Existing Information Measures for q-ROFSs -- 4.3 Soergel Distance Measures for q-ROFSs and Their Validation/Efficiency -- 4.3.1 Twelve Types of Soergel Distance Measures for q-ROFSs -- 4.3.2 Twelve Types of Weighted Soergel Distance Measures for q-ROFSs -- 4.3.3 The Validation/Efficiency of SoDMs and SoSMs for q-ROFSs -- 4.4 Applications of SoDMs -- 4.4.1 Proposed Decision-Making Method."]
[{"$nulls":4},"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."]
[{"$nulls":4},"8 Evidence-Based Cloud Vendor Assessment with Generalized Orthopair Fuzzy Information and Partial Weight Data -- 8.1 Introduction -- 8.2 Literature Review -- 8.2.1 CV Selection Using Decision Models -- 8.2.2 GOFS-Based Decision Approaches -- 8.3 A New Scientific Framework for CV Selection -- 8.3.1 Preliminaries -- 8.3.2 Mathematical Model with GOFS -- 8.3.3 Evidence-Based Ranking Algorithm with GOFS -- 8.4 Real Case Example-Selection of CVs -- 8.5 Comparative Analysis -- 8.6 Conclusion -- References -- 9 Supplier Selection Process Based on CODAS Method Using q-Rung Orthopair Fuzzy Information -- 9.1 Introduction -- 9.2 q-Rung Orthopair Fuzzy Sets (q-ROFS) -- 9.2.1 Algebraic Operations q-ROFS -- 9.3 Combinative Distance-Based Assessment (CODAS) -- 9.3.1 Steps for the CODAS Method -- 9.4 CODAS and q-Rung Orthopair Fuzzy Sets  for the Supplier Selection Process -- 9.5 Case Numeric -- 9.6 Discussions -- 9.7 Conclusions -- References -- 10 Group Decision-Making Framework with Generalized Orthopair Fuzzy 2-Tuple Linguistic Information -- 10.1 Introduction -- 10.2 Preliminaries -- 10.2.1 The 2-Tuple Linguistic Representation Model -- 10.2.2 The MSM Operator and its Weighted Form -- 10.3 The GOFTLMSM Aggregation Operator and its Weighted Form -- 10.3.1 The GOFTLMSM Operator -- 10.3.2 The GOFTLWMSM Operator -- 10.4 The "]
[{"$nulls":4},"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."]
[{"$nulls":4},"11.3 q-ROF CODAS Method -- 11.3.1 q-Rung Orthopair Fuzzy Sets -- 11.3.2 q-ROF CODAS Methodology -- 11.4 Case Study -- 11.5 Conclusion -- References -- 12 An Integrated Proximity Indexed Value and q-Rung Orthopair Fuzzy Decision-Making Model for Prioritization of Green Campus Transportation -- 12.1 Introduction -- 12.2 Literature Review -- 12.3 Case Study -- 12.3.1 Definition of Alternatives and Criteria -- 12.4 Preliminaries -- 12.5 Proposed Methodologies -- 12.5.1 Proximity Indexed Value (PIV) Method -- 12.5.2 Proposed q-ROF PIV Method -- 12.6 Experimental Results -- 12.7 Discussion -- 12.8 Conclusion -- References -- 13 Platform-Based Corporate Social Responsibility Evaluation with Three-Way Group Decisions Under Q-Rung Orthopair Fuzzy Environment -- 13.1 Introduction -- 13.2 Preliminaries -- 13.2.1 q-rung Orthopair Fuzzy Sets (q-ROFSs) -- 13.2.2 Three Way Decisions (TWDs) -- 13.3 CSR Evaluation Method Based on TWDs with q-ROFSs -- 13.3.1 Information Fusion Method -- 13.3.2 CSR Classification of Platform-Based Enterprises with TWDs -- 13.4 An Illustrative Example -- 13.4.1 Decision Analysis with Our Proposed Method -- 13.4.2 Comparative Experiment -- 13.4.3 Sensitivity Analysis -- 13.5 Conclusions -- References -- 14 MARCOS Technique by Using q-Rung Orthopair Fuzzy Sets for Evaluating the Performance of Insurance Companies in Terms of Healthcare Services -- 14.1 Introduction -- 14.2 Preliminaries -- 14.3 Q-ROF-MARCOS Method -- 14.4 Analysis of Healthcare Services Under Q-ROFS-MARCOS Technique -- 14.5 Sensitivity Analysis -- 14.6 Conclusion -- References -- 15 Interval Complex q-Rung Orthopair Fuzzy Aggregation Operators and Their Applications in Cite Selection of Electric Vehicle -- 15.1 Introduction -- 15.2 Preliminaries -- 15.3 Interval Complex q-Rung Orthopair Fuzzy Sets."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"Aggregation Operators Under Interval-Valued Dual Hesitant q-Rung Orthopair Fuzzy Environments for Multicriteria Decision-Making -- 19.1 Introduction -- 19.2 Preliminaries -- 19.2.1 DHq-ROFS -- 19.2.2 IVDHq-ROFS -- 19.2.3 Operations on IVDHq-ROFNs -- 19.2.4 HM Operator -- 19.2.5 GHM Operator -- 19.3 HM-Based IVDHq-ROF Aggregation Operators and Its Properties -- 19.3.1 IVDHq-ROFHM Operator -- 19.3.2 IVDHq-ROFWHM Operator -- 19.3.3 IVDHq-OFGHM Operator -- 19.3.4 IVDHq-ROFWGHM Operator."]
[{"$nulls":4},"19.4 Approach to MCDM with HM-Based IVDHq-ROF Information."]