Granular computing and big data advancements /
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
Engineering Science Reference (an imprint of IGI Global),
[2024]
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| Series: | Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Chapter 1. Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system
- Chapter 2. Multi-source information fusion models and methods based on granular computing
- Chapter 3. Community discovery in complex network big data
- Chapter 4. Information granule, modeling, and application from the perspective of granular computing
- Chapter 5. A novel sequential three-way decision with rough fuzzy sets based on optimal granularity selection
- Chapter 6. Multi-granulation-based optimal scale selection in multi-scale information systems
- Chapter 7. Fuzzy hamacher aggregation functions and their applications to multiple attribute decision making
- Chapter 8. The researches on knowledge distance and its relative extensions
- Chapter 9. Feasibility evaluation of highwall mining in open-pit coal mine based on variable weight fuzzy theory
- Chapter 10. Trusted fine-grained image classification based on evidence theory and its applications to medical image analysis.