Table of contents : Cover image Title page Table of Contents Copyright 1: Introduction to picture fuzzy sets and operators Abstract 1.1. Introduction 1.2. Preliminaries 1.3. Relation on picture fuzzy set 1.4. Picture fuzzy graph 1.5. Arithmetics on picture fuzzy set 1.6. Ordering of PFN 1.7. Similarity measures between picture fuzzy sets 1.8. Convex combination of picture fuzzy sets 1.9. Picture fuzzy averaging operators 1.10. Implication operator on picture fuzzy set 1.11. Topological operators on picture fuzzy set 1.12. Dombi operations on PFNs 1.13. Picture fuzzy Dombi aggregation operator 1.14. Conclusion References 2: Picture fuzzy hybrid weighted operators and their application in the decision-making process Abstract 2.1. Introduction 2.2. Preliminaries 2.3. Aggregation operators with PFN information 2.4. Interval-valued picture fuzzy approach 2.5. MCDM based on the proposed operators 2.6. Sensitivity analysis for the parameter γ 2.7. Conclusion References 3: Multicriteria group decision-making process based on a picture fuzzy soft parameterized environment Abstract 3.1. Introduction 3.2. Basic concept of PFSS and PFSN 3.3. Picture fuzzy soft weighted average operators 3.4. Model for MCGDM method using picture fuzzy soft information 3.5. Case study 3.6. Comparative studies 3.7. Advantages of the approach 3.8. Conclusions References 4: Picture fuzzy Dombi operators and their applications in multiattribute decision-making processes Abstract 4.1. Introduction 4.2. Preliminaries 4.3. Picture fuzzy Dombi weighted average operators 4.4. Picture fuzzy Dombi weighted geometric operators 4.5. The MADM model based on PFN 4.6. Numerical results 4.7. Analysis on the effect of parameter ϱ on decision making results 4.8. Comparative analysis 4.9. Conclusions References 5: Picture fuzzy Dombi prioritized operators and their application in decision-making processes Abstract 5.1. Introduction 5.2. Preliminaries 5.3. Picture fuzzy Dombi prioritized weighted arithmetic aggregation operators 5.4. Picture fuzzy Dombi prioritized geometric aggregation operators 5.5. Model for MADM using picture fuzzy Dombi operator 5.6. Numerical example and comparative analysis 5.7. Analysis on the effect of parameter ϱ on decision making results 5.8. Comparative analysis 5.9. Conclusions References 6: Picture fuzzy power Dombi operators and their utilization in decision-making problems Abstract 6.1. Introduction 6.2. Basic definitions and terminologies 6.3. Picture fuzzy power Dombi averaging operators 6.4. Dombi power geometric AOs with PFNs 6.5. MADM approach for PFNs 6.6. Case study and comparative analysis 6.7. Conclusion References 7: m-Polar picture fuzzy Dombi operators and their applications in multicriteria decision-making processes Abstract 7.1. Introduction 7.2. Preliminaries 7.3. Dombi operations on mPFNs 7.4. mPoPFN Dombi arithmetic operators 7.5. mPoPFN Dombi geometric operators 7.6. Model for MADM using mPoPF data 7.7. Numerical example 7.8. Conclusion References 8: Picture fuzzy MABAC approach and its application in multi-attribute group decision-making processes Abstract 8.1. Introduction 8.2. Some results of picture fuzzy sets 8.3. Conventional MABAC model 8.4. MABAC model with PFNs 8.5. Case study 8.6. Compare PFNs MABAC approach with some PFNs operators 8.7. Conclusions References 9: Linear programming problem in a picture fuzzy environment Abstract Abbreviations 9.1. Introduction 9.2. Preliminaries 9.3. Some results 9.4. Methodology for solving FPFLPP with LR flat PFNs 9.5. Numerical example of FPFLPP 9.6. Conclusions References 10: Multiobjective linear programming problem in a picture fuzzy environment Abstract Abbreviations 10.1. Introduction 10.2. Preliminaries 10.3. Multiobjective linear programming problem 10.4. Picture fuzzy multiobjective linear programming problem 10.5. Application of PFMOLPP 10.6. Conclusion References 11: Picture fuzzy goal programming problem Abstract Abbreviations 11.1. Introduction 11.2. Preliminaries 11.3. Picture fuzzy goal programming problem 11.4. An application of picture fuzzy goal programming in the recycling process of plastic 11.5. Conclusion References 12: Picture fuzzy linear assignment problem and its application in multicriteria group decision-making problems Abstract Abbreviations 12.1. Introduction 12.2. Preliminaries 12.3. Linear assignment method on picture fuzzy set 12.4. An application to a sponge iron factory location selection 12.5. Conclusions References Index