Abstract
The landing safety of aircraft is of great significance for the normal operation of an aircraft carrier. This paper presents an optimal method for landing routes of aircraft. Owing to the fuzziness of environmental information and human judgment, a decision-making method is introduced to reduce the workload of landing console operators (LCO). Specifically, a route option method for aircraft landing is proposed based on Fuzzy Multi-attribute Group Decision Making (FMAGDM). Firstly, the route option problem is described. Then the essential elements of route option are described. A group decision-making method is proposed, and the most reasonable landing route in current environment is obtained considering the knowledge composition and the weight of each decision maker. Finally, simulations under different environments are conducted. The results indicate that the decision-making method is able to adapt to the environment changes, and determine the most reasonable route for each validation case.
Highlights
Landing aircraft on an aircraft carrier is a task laden with inherent risks [1]
The sea weather is measured by the observatory set up on the aircraft carrier, and the weather measurements are transmitted to a pilot
The proposed method can be used for air traffic control in an aircraft carrier
Summary
Abstract.The landing safety of aircraft is of great significance for the normal operation of an aircraft carrier. This paper presents an optimal method for landing routes of aircraft. Owing to the fuzziness of environmental information and human judgment, a decision-making method is introduced to reduce the workload of landing console operators (LCO). A route option method for aircraft landing is proposed based on Fuzzy Multi-attribute Group Decision Making (FMAGDM). The essential elements of route option are described. A group decision-making method is proposed, and the most reasonable landing route in current environment is obtained considering the knowledge composition and the weight of each decision maker. The results indicate that the decision-making method is able to adapt to the environment changes, and determine the most reasonable route for each validation case
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