Optimization Theory Based on Neutrosophic and Plithogenic Sets
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. - 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
1135004254
Optimization Theory Based on Neutrosophic and Plithogenic Sets
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. - 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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Optimization Theory Based on Neutrosophic and Plithogenic Sets

Optimization Theory Based on Neutrosophic and Plithogenic Sets

Optimization Theory Based on Neutrosophic and Plithogenic Sets

Optimization Theory Based on Neutrosophic and Plithogenic Sets

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Overview

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. - 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

Product Details

ISBN-13: 9780128199084
Publisher: Elsevier Science & Technology Books
Publication date: 01/14/2020
Sold by: Barnes & Noble
Format: eBook
Pages: 446
File size: 34 MB
Note: This product may take a few minutes to download.

About the Author

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.

Table of Contents

1. Neutrosophic Set Theory and Application in Management Science2. Logistics Engineering: Modelling, Optimization and Simulation3. Operations Research and Operations Management4. Production Planning and Control5. Neutrosophic set-based Project Management6. Neutrosophic set-based Linear Programming Problems7. Neutrosophic set-based Integer Programming Problems8. Neutrosophic set-based Goal Programming Problems9. Neutrosophic set-based Game Theory10. Neutrosophic set-based Nonlinear Programming problems and its applications11. Neutrosophic based on Operations Research applications12. Neutrosophic set-based Computational Modelling13. Soft Computing, and logic for optimum results14. Design of Nonlinear Optimal Controllers15. Neutrosophic Geophysics16. Neutrosophic Computational Systems Biology17. Neutrosophic Molecular Modeling18. Refined Neutrosophic Set and Logic19. Neutrosophic Over-/Under-/Off-Set and -Logic20. Neutrosophic Mathematical Programming21. Neutrosophic Possibilistic Optimization22. Neutrosophic Image Processing23. Neutrosophic Civil Engineering24. Neutrosophic Electric Engineering25. Neutrosophic Regression Analysis26. Neutrosophic Data Analysis27. Fundamental theories for Operational Research under Uncertainty28. Neutrosophic sets-based Multi-Criteria Group Decision Making29. Neutrosophic set-based Economic Forecasting30. Complex neutrosophic set-based Group Decision Making31. Neutrosophic and Plithogenic Evolutionary Algorithms32. Neutrosophic and Plithogenic Memetic Algorithms33. Neutrosophic and Plithogenic Genetic Algorithms34. Plithogenic Set and its Applications35. Plithogenic Logic and its Applications36. Plithogenic Probability and its Optimization Applications37. 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

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