Data-driven Decision Making and Soft Computing
Applications and Advances
Sorozatcím: Intelligent Data-Driven Systems and Artificial Intelligence;
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A termék adatai:
- Kiadás sorszáma 1
- Kiadó CRC Press
- Megjelenés dátuma 2026. május 18.
- ISBN 9781041062974
- Kötéstípus Keménykötés
- Terjedelem334 oldal
- Méret 234x156 mm
- Nyelv angol
- Illusztrációk 74 Illustrations, black & white; 6 Halftones, black & white; 68 Line drawings, black & white; 26 Tables, black & white 700
Kategóriák
Rövid leírás:
This book reflects the comprehensive exploration of the intersection between fuzzy decision-making and soft computing. It delves into the theoretical foundations of fuzzy decision-making and soft computing, exploring the underlying principles, algorithms, and mathematical frameworks.
Több
Hosszú leírás:
This book reflects the comprehensive exploration of the intersection between fuzzy decision-making and soft computing. It delves into the theoretical foundations of fuzzy decision-making and soft computing, exploring the underlying principles, algorithms, and mathematical frameworks. The text showcases the latest methodological advances in combining fuzzy decision-making with various soft computing techniques, such as neural networks, and evolutionary computation.
This book:
- Provides a comprehensive coverage of data-driven decision-making techniques and soft computing methods.
- Aim at bridging the gap between theoretical concepts and practical implementation by offering real-world case studies, examples, and applications.
- Highlight emerging trends, recent advancements, and cutting-edge research in the field of data-driven decision-making and soft computing.
- Emphasize the real-world relevance of Fuzzy Decision Making and Soft Computing by showcasing practical applications across various domains.
- Showcases applications in domains such as control systems, pattern recognition, optimization, and decision support systems.
It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics, and communication engineering, computer science and engineering, and applied mathematics.
TöbbTartalomjegyzék:
1. Introduction to Data-Driven Decision Making. 2. Application of Graph Energy in Glaucoma detection using Machine Learning Techniques. 3. A comprehensive review on Applications of fuzzy planar graphs. 4. Optimizing Sustainable Supply Chain Inventory Model: A Fuzzy-Based Integrated Approach with Two-Warehouse and Dual-Mode Inspection. 5. Enhancing Advanced Additive Manufacturing for Uncertain and Complex Domains. 6. Blockchain-Powered Food Waste Management in Enhancing Traceability and Sustainability. 7. An inventory stock with a cash flow model under Cloud Fuzzy and its applications. 8. Manpower Planning Optimization using Fuzzy Genetic Algorithms. 9. Dynamic Neutrosophic Decision Matrix (DNDM) for Smart City. 10. Plithogenic Way of Decision Making in Traffic Signal Time Setting. 11. Enhanced Air Traffic Prediction Using XGBoost: A Data-Driven Approach for Optimized Airport Operations. 12. Multi attribute Decision Making in Hesitant Fuzzy Environments. 13. Fuzzy Optimization Framework for Inventory and Maintenance Management in Sustainable Production Processes. 14. Demand Forecasting for Adidas Using Long Short-Term Memory (LSTM) Networks: A Fuzzy Logic Approach. 15. Ethical and Privacy Considerations in Data-Driven Decision-Making. 16. A Sustainable Joint Replenishment model with replacement options of imperfect items with inspection errors under pentagonal fuzzy numbers
Több
