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

Wenhao Bi, Yuhui Liu, Weixiang Wang, An Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
PublisherInternational Council of the Aeronautical Sciences
Pages1602-1609
Number of pages8
ISBN (Electronic)9781713871163
StatePublished - 2022
Event33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022 - Stockholm, Sweden
Duration: 4 Sep 20229 Sep 2022

Publication series

Name33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
Volume3

Conference

Conference33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
Country/TerritorySweden
CityStockholm
Period4/09/229/09/22

Keywords

  • 2-tuple linguistic information
  • Fuzzy 2-tuple linguistic Bonferroni mean (HF2TLBM) operator
  • hesitant fuzzy set
  • human-machine function allocation
  • prioritized weighted hesitant Fuzzy 2-tuple linguistic Bonferroni mean (PWHF2TLBM) operator
  • single pilot operation

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