Open AccessEfficiency evaluation of intelligent swarm based on AHP entropy weight method
Author(s) -
Han Yu,
Dan Fang,
Hongyan Zhang,
Li Yuan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1693/1/012072
Subject(s) - swarm behaviour , analytic hierarchy process , entropy (arrow of time) , computer science , nonlinear system , artificial intelligence , data mining , operations research , engineering , physics , quantum mechanics
With the rapid development of high-tech, UAV intelligent swarm is expected to become an important means to deal with the complex situation environment in the future due to its intelligent and high cost-effective characteristics. UAV intelligent swarm is a nonlinear complex system, and the traditional single effectiveness evaluation method can not effectively reflect the system capability. Therefore, this paper proposes an evaluation method based on AHP entropy weight method for UAV intelligent swarm system effectiveness evaluation. The final weight is obtained by combining the two weights, which can reduce the impact of subjective factors. Finally, the feasibility of the proposed method is verified by simulation experiments.