Research on the development strategy of intelligent weapon equipment for urban warfare based on SWOT and FAHP
With the rapid development of artificial intelligence technology, intelligent weapon equipment is playing an increasingly prominent role in future urban warfare. This paper aims to propose a scientific method to determine the development strategy for intelligent weapon equipment for urban combat. Fi...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Command Control and Simulation
2025-02-01
|
| Series: | Zhihui kongzhi yu fangzhen |
| Subjects: | |
| Online Access: | https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1737421401896-96623519.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | With the rapid development of artificial intelligence technology, intelligent weapon equipment is playing an increasingly prominent role in future urban warfare. This paper aims to propose a scientific method to determine the development strategy for intelligent weapon equipment for urban combat. Firstly, the characteristics of urban warfare and the development status of intelligent weapon equipment are analyzed. The fuzzy analytic hierarchy process (FAHP) is innovatively introduced into the SWOT analysis framework. This model utilizes FAHP to process the subjective SWOT analysis matrix, quantitatively calculating the weights of influencing factors, and improves the deficiency of traditional SWOT analysis relying too much on expert experience. Meanwhile, an improved calculation method for the centroid coordinates of the strategic quadrilateral is proposed, presenting a more reasonable coordinate calculation formula that can more accurately determine the centroid position. Finally, taking the intelligent weapon equipment for urban warfare as an example, the opportunity-seeking and proactive strategy is determined through calculation, and suggestions for the corresponding development strategies are put forward. |
|---|---|
| ISSN: | 1673-3819 |