Article
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A Fuzzy Path Selection Strategy for Aircraft Landing on the Carrier
Version 1
: Received: 15 April 2018 / Approved: 16 April 2018 / Online: 16 April 2018 (09:45:26 CEST)
A peer-reviewed article of this Preprint also exists.
Su, X.; Wu, Y.; Song, J.; Yuan, P. A Fuzzy Path Selection Strategy for Aircraft Landing on a Carrier. Appl. Sci. 2018, 8, 779. Su, X.; Wu, Y.; Song, J.; Yuan, P. A Fuzzy Path Selection Strategy for Aircraft Landing on a Carrier. Appl. Sci. 2018, 8, 779.
Abstract
Landing is one of the most dangerous tasks in all the operations on the aircraft carrier, and the landing safety is very important to the pilot and the flight deck operation. The problem of landing path selection is studied in this paper as there several candidates corresponding to different situations. A fuzzy path selection strategy is proposed to solve the problem considering the fuzziness of environmental information and human judgment, and the goal is to provide the pilot with more reasonable decision. The strategy is based on Fuzzy Multi-attribute Group Decision Making (FMAGDM), which has been widely used in industry. Firstly, the background of the path selection problem is given. Then the essential elements of the problem are abstracted to build the conceptual model. A group decision-making method is applied to denote the preference of each decision maker for each alternative route, and the optimal landing path under the current environment is determined taking into account the knowledge and the weight of both decision makers. Experimental studies under different setups, i.e., different environments, are carried out. The results demonstrate that the proposed path selection strategy is validated in different environments, and the optimal landing paths corresponding to different environments can be determined.
Keywords
landing; aircraft carrier; landing path; fuzziness; fuzzy multi-attribute group decision making
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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