基于模糊聚类和专家评分机制的无人机多层次模块划分方法

Translated title of the contribution: Multi-level module partition method of UAV based on fuzzy clustering and expert scoring mechanism

Jianfeng Yang, Heye Xiao, Liang Li, Junqiang Bai, Weihao Dong

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Based on the multi-level progressive module partition architecture of preliminary partition-comprehensive evaluation-precision partition, this paper provides a credible and effective method for module partition in modular unmanned aerial vehicle (UAV) design. In order to improve the credibility of the results of module partition, a scoring mechanism using expert reliability is introduced in the evaluation of module partition indicators. A multi-level module partition method is presented by applying fuzzy clustering and expert scoring mechanism. Taking the one-time and reusable UAVs as examples, the proposed module partition method is adopted to cluster the components and form a module partition scheme. Through the results of the module partition, it can be seen that the proposed method can provide a reliable module partition scheme and satisfy their application characteristics for different kinds of UAVs. Therefore, the rationality and effectiveness of the method is further verified.

Translated title of the contributionMulti-level module partition method of UAV based on fuzzy clustering and expert scoring mechanism
Original languageChinese (Traditional)
Pages (from-to)2530-2539
Number of pages10
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume44
Issue number8
DOIs
StatePublished - Aug 2022

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