HUMAN-MACHINE FUNCTION ALLOCATION METHOD FOR SINGLE PILOT OPERATION USING HESITANT FUZZY 2-TUPLE LINGUISTIC INFORMATION

Wenhao Bi, Yuhui Liu, Weixiang Wang, An Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Single pilot operation(SPO) is the key technology for the next generation operation of the future commercial aircraft. It consists of single pilot in the cockpit, advanced onboard automation and ground airline operator. In order to make the overall system efficient, safe, reliable and economic, human-machine function allocation for single-pilot operation should comprehensively consider various factors. Thus, the human-machine function allocation can be viewed as a typical multiple attribute group decision making (MAGDM) problem under uncertainty and ambiguity. To this end, this paper introduces a human-machine function allocation method based on hesitant fuzzy 2-tuple linguistic information. Firstly, the prioritized weighted hesitant fuzzy 2-tuple linguistic Bonferroni mean (PWHF2TLBM) operator is defined. Then the human-machine function allocation method is proposed, where the evaluations of experts are presented in the form of hesitant fuzzy 2-tuple linguistic information, and the PWHF2TLBM operator is used to aggregate the evaluations of different attributes. Finally, an illustrative example is provided to demonstrate the practicality of this method.

源语言英语
主期刊名33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
出版商International Council of the Aeronautical Sciences
1602-1609
页数8
ISBN(电子版)9781713871163
出版状态已出版 - 2022
活动33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022 - Stockholm, 瑞典
期限: 4 9月 20229 9月 2022

出版系列

姓名33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
3

会议

会议33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
国家/地区瑞典
Stockholm
时期4/09/229/09/22

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