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

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Summary

A Decision-Making Method for Landing Routes of Aircraft on the Carrier

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

Introduction
Problem description
Result of route option Information processing
The alternative routes
The contributing factors
Description of the PRCF and the current environmental vector
Decision-making with the developed fuzzy TOPSIS approach
Group decision-making process
Results and analyses of route option in different environments
Results and analyses
Conclusion
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