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1. |
Record Nr. |
UNINA9911001783503321 |
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Autore |
Li Bo |
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Titolo |
Probabilistic Linguistic Two-Sided Matching Decision-Making Methods and Applications / / by Bo Li, Zeshui Xu |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XI, 111 p. 46 illus., 36 illus. in color.) |
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Collana |
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Studies in Fuzziness and Soft Computing, , 1860-0808 ; ; 436 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computational linguistics |
Computational Intelligence |
Artificial Intelligence |
Computational Linguistics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1 Introductio -- 2. Literature review -- 3. Probabilistic linguistic static two-sided matching method based on pairwise compared preference relationship -- 4. Multi-stage probabilistic linguistic matching method based on improved preference relationship consistency algorithm -- 5. Probabilistic linguistic two-sided matching with attribute weights complete unknown. |
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Sommario/riassunto |
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This book tackles the intricacies of decision-making processes where alternatives stem from distinct, finite sets. Discover the cutting-edge in decision-making with our groundbreaking book on complex two-sided matching methods. Harnessing the power of probabilistic linguistic term sets, it introduces innovative methods that enhance matching efficiency and practicality. It addresses the pressing question of how to navigate and optimize in scenarios with multifaceted matching challenges, offering an exploration into the psychological perceptions of agents through consistency checks and pairwise comparisons. It delves into the unknowns of static matching with multiple attribute weights, extends its scope to multi-sided agent sets in complex matching, and introduces dynamic screening mechanisms to refine the |
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matching process. This book is not just a theoretical exploration. It lays the groundwork for intelligent matching algorithms and group mechanisms, providing actionable insights for technical supply and demand allocation, emergency personnel dispatch, and multi-stage medical management scheme selection. The effectiveness of these methods is backed by comparative analyses and simulation experiments, proving their superiority in real-world applications. Embrace the future of decision-making with our book, a must-read for those seeking to master complex matching scenarios and unlock practical solutions. . |
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2. |
Record Nr. |
UNINA9911007172403321 |
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Autore |
Kaswan Kuldeep Singh |
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Titolo |
Enabling Technologies for Smart Fog Computing |
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Pubbl/distr/stampa |
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Stevenage : , : Institution of Engineering & Technology, , 2024 |
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©2024 |
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ISBN |
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1-83724-428-6 |
1-5231-6313-5 |
1-83953-750-7 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (550 pages) |
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Collana |
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Computing and Networks Series |
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Altri autori (Persone) |
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DhatterwalJagjit Singh |
JaglanVivek |
BalusamyBalamurugan |
SūdaKiraṇa |
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Disciplina |
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Soggetti |
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Heterogeneous distributed computing systems |
Internet of things |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Contents -- About the authors -- 1. Introduction of fog computing -- 2. Fog computing in the IoT environment -- 3. Enhance quality of fog-computing environment using SDN and NFV technology -- 4. Using P2P pervasive grid improves tunneling architecture and routing scalability -- 5. Vehicular fog computing and virtualization -- 6. Smart XSS attack |
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surveillance system for fog computing -- 7. Spectral image analysis with supervised feature extraction -- 8. Developing of fog computing using sensor data -- 9. Information sharing on mobile IoT-based content aware smart home with fog computing -- 10. Security and privacy challenges in fog computing -- 11. Fog robotics -- 12. Cybernetic intelligence in fog computing -- 13. Further application of fog computing -- 14. Future research directions -- Index |
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Sommario/riassunto |
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The authors present a comprehensive review of fog computing systems including energy efficiency and quality of service issues, reliability and fault tolerance, load balancing, and scheduling, utilizing mobile edge computing, internet of things, resource estimation and virtualization in fog computing environments for smart applications. |
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