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Optimization Theory Based on Neutrosophic and Plithogenic Sets

  • ID: 4858528
  • Book
  • January 2020
  • 446 Pages
  • Elsevier Science and Technology

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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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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Smarandache, Florentin
Florentin Smarandache is a Professor of Mathematics at the University of New Mexico. He has published over 180 books and 650 papers and notes in mathematics, physics, economy, psychology, philosophy, linguistics, literature, arts, and rebus. In mathematics his research papers are in number theory, non-Euclidean geometry, synthetic geometry, algebraic structures, statistics, and multiple-valued logic (fuzzy logic and fuzzy set, neutrosophic logic and neutrosophic set, neutrosophic probability, and their extensions to plithogenic set / logic / probability). He contributed with proposed problems and solutions to the Student Mathematical Competitions. He received the 2011 Romanian Academy "Traian Vuia" Award for Technical Science (the highest in the country); Doctor Honoris Causa of Academia DacoRomana from Bucharest - 2011, and Doctor Honoris Causa of Beijing Jiaotong University (one of the highest technical universities of China) - 2011, and Postdoctoral certificate from Okayama University of Sciences in Japan - 2014.
Abdel-Basset, Mohamed
Mohamed Abdel-Baset, PhD, current research interests are Optimization, Operations Research, Data Mining, Computational Intelligence, Applied Statistics, Decision support systems, Robust Optimization, Engineering Optimization, Multi-objective Optimization, Swarm Intelligence, Evolutionary Algorithms, and Artificial Neural Networks. He is working on the application of multi-objective and robust meta-heuristic optimization techniques. He is also Editor/reviewer in different international journals and conferences. He holds the program chair in many conferences in the fields of decision-making analysis, big data, optimization, complexity and internet of things, as well as editorial collaboration in some journals of high impact.
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