Situation Assessment in Aviation : Bayesian Network and Fuzzy Logic-based Approaches

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Situation Assessment in Aviation : Bayesian Network and Fuzzy Logic-based Approaches

Raol, Jitendra R./ Kashyap, Sudesh K./ Shrinivasan, Lakshmi

ウェブストア価格 ¥46,153（本体¥41,958）
CRC Press（2024/02発売）
外貨定価 US$ 220.00
ポイント 419pt

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製本 Hardcover:ハードカバー版／ページ数 414 p.
言語 ENG
商品コード 9781032440934
DDC分類 629.1

Full Description

Situation Assessment in Aviation focuses on new aspects of soft computing technologies for the evaluation and assessment of situations in aviation scenarios. It considers technologies emerging from multisensory data fusion (MSDF), Bayesian networks (BN), and fuzzy logic (FL) to assist pilots in their decision-making.

Studying MSDF, BN, and FL from the perspective of their applications to the problem of situation assessment, the book discusses the development of certain soft technologies that can be further used for devising more sophisticated technologies for a pilot's decision-making when performing certain tasks: airplane monitoring, pair formation, attack, and threat. It explains the concepts of situation awareness, data fusion, decision fusion, Bayesian networks, fuzzy logic type 1, and interval type 2 fuzzy logic. The book also presents a hybrid technique by using BN and FL and a unique approach to the problem of situation assessment, beyond visual range and air-to-air combat, by utilizing building blocks of artificial intelligence (AI) for the future development of more advanced automated systems, especially using commercial software.

The book is intended for aerospace R&D engineers, systems engineers, aeronautical engineers, and aviation training professionals. It will also be useful for aerospace and electrical engineering students taking courses in Air Traffic Management, Aviation Management, Aviation Operations, and Aviation Safety Systems.

1. Introduction. 2. Situation Awareness. 3. Situation Assessment. 4. Theory of Fuzzy Logic. 5. Fuzzy Logic-based Decision Fusion and Fuzzy Filtering. 6. Performance Evaluation of Fuzzy Logic-based Decision System. 7. Situation Assessment Models and Use of Fuzzy Logic. 8. Interval Type 2 Fuzzy Logic (IT2FL)-based Decision System. 9. IT2 Fuzzy Logic Decision Fusion for Formation-Flying Recognition. 10. Bayesian Mental Models of a Pilot for SA in Air-to-Air Combat. 11. Fuzzy Logic and Bayesian Network-based SA in Air-to-Air Combat. 12. Approaches of Artificial Intelligence-based Situation Awareness and Assessment. Appendix A. Aviation Safety and Security. Appendix B. Aviation Sustainability. Appendix C. Situation Assessment Case Study-1. Appendix D. Situation Assessment Case Study-2.