Optimization Theory Based on Neutrosophic and Plithogenic Sets presents the state-of-the-art research on neutrosophic and plithogenic theories and their applications in various optimization fields. Its table of contents covers new concepts, methods, algorithms, modelling, and applications of green supply chain, inventory control problems, assignment problems, transportation problem, nonlinear problems and new information related to optimization for the topic from the theoretical and applied viewpoints in neutrosophic sets and logic.
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1. Neutrosophic Set Theory and Application in Management Science 2. Logistics Engineering: Modelling, Optimization and Simulation 3. Operations Research and Operations Management 4. Production Planning and Control 5. Neutrosophic set-based Project Management 6. Neutrosophic set-based Linear Programming Problems 7. Neutrosophic set-based Integer Programming Problems 8. Neutrosophic set-based Goal Programming Problems 9. Neutrosophic set-based Game Theory 10. Neutrosophic set-based Nonlinear Programming problems and its applications 11. Neutrosophic based on Operations Research applications 12. Neutrosophic set-based Computational Modelling 13. Soft Computing, and logic for optimum results 14. Design of Nonlinear Optimal Controllers 15. Neutrosophic Geophysics 16. Neutrosophic Computational Systems Biology 17. Neutrosophic Molecular Modeling 18. Refined Neutrosophic Set and Logic 19. Neutrosophic Over-/Under-/Off-Set and -Logic 20. Neutrosophic Mathematical Programming 21. Neutrosophic Possibilistic Optimization 22. Neutrosophic Image Processing 23. Neutrosophic Civil Engineering 24. Neutrosophic Electric Engineering 25. Neutrosophic Regression Analysis 26. Neutrosophic Data Analysis 27. Fundamental theories for Operational Research under Uncertainty 28. Neutrosophic sets-based Multi-Criteria Group Decision Making 29. Neutrosophic set-based Economic Forecasting 30. Complex neutrosophic set-based Group Decision Making 31. Neutrosophic and Plithogenic Evolutionary Algorithms 32. Neutrosophic and Plithogenic Memetic Algorithms 33. Neutrosophic and Plithogenic Genetic Algorithms 34. Plithogenic Set and its Applications 35. Plithogenic Logic and its Applications 36. Plithogenic Probability and its Optimization Applications 37. Neutrosophic and Plithogenic Time Series Prediction
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Presents foundational literature about systems that can handle high levels of uncertainty in complex real-world problems
All essential topics about neutrosophic optimization and Plithogenic sets make this volume the only single source of comprehensive information New and innovative theories help researchers solve problems under diverse optimization environments Varied applications address practitioner fields such as computational intelligence, image processing, medical diagnosis, fault diagnosis, and optimization design
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Produktdetaljer

ISBN
9780128196700
Publisert
2020-01-17
Utgiver
Vendor
Academic Press Inc
Vekt
800 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
446

Biographical note

Prof. Dr. Florentin Smarandache is a professor of mathematics at the University of New Mexico, United states. He is the founder of neutrosophy (generalization of dialectics), neutrosophic set, neutrosophic logic, neutrosophic probability and neutrosophic statistics since 1995 and has published hundreds of papers and books on multispace and multistructure, hypersoft set, degree of dependence and independence between neutrosophic components, refined neutrosophic set, neutrosophic over-under-off-set, plithogenic set, neutrosophic triplet and duplet structures, quadruple neutrosophic structures, extension of algebraic structures to NeutroAlgebras and AntiAlgebras, Dezert Smarandache Theory and so on to many peer-reviewed international journals and many books and he presented papers and plenary lectures to many international conferences around the world. Dr. Mohamed Abdel-Basset is Associate Professor and Head of the Department of Computer Science, within the Faculty of Computers and Informatics, at Zagazig University, Egypt. He received his B.Sc., M.Sc and Ph.D in operations research at the Faculty of Computers and Informatics, Zagazig University. Dr. Abdel-Basset’s research interests are in Optimization, Operations Research, Data Mining, Computational Intelligence, Applied Statistics, Decision Support Systems, Robust Optimization, Engineering Optimization, Multiobjective Optimization, Swarm Intelligence, Evolutionary Algorithms, and Artificial Neural Networks. He is currently working on the application of multi-objective and robust meta-heuristic optimization techniques. Dr. Abdel-Basset is an Editor or Reviewer for several international journals and conferences, and has published more than 100 articles in international journals and conference proceedings.