Skip to main navigation Skip to search Skip to main content

考虑不确定性的机枪作战效能综合评估方法

Translated title of the contribution: Comprehensive Evaluation Method for Combat Effectiveness of Machine Gun Considering Interval Uncertainty
  • Beijing Institute of Technology
  • No.208 Research Institute of China Ordnance Industries

Research output: Contribution to journalArticlepeer-review

Abstract

A comprehensive-criterion-based machine gun design evaluation method in which interval-uncertainty is considered is proposed to address the incompleteness and uncertainty related to the indices for evaluating the combat effectiveness of machine gun designs. The initial indices for evaluating the combat effectiveness of machine gun designs based on interval number are established from the technical and tactical requirements of machine guns. Based on the interval uncertainty functions of the initial evaluation indices, the combined weights of the evaluation indices are determined using interval entropy method and analytic hierarchy process (AHP). Based on the grey relational analysis (GRA) method and the technique for order preference by similarity to an ideal solution (TOPSIS) in terms of interval numbers, the different machine gun designs are compared, and a gray correlation degree based on Euclidean distance is defined to characterize the similarity between the alternatives, thus effectively solving the problem of interval uncertainty. An example is given to demonstrate the effectiveness of the proposed method.

Translated title of the contributionComprehensive Evaluation Method for Combat Effectiveness of Machine Gun Considering Interval Uncertainty
Original languageChinese (Traditional)
Pages (from-to)2048-2055
Number of pages8
JournalBinggong Xuebao/Acta Armamentarii
Volume39
Issue number10
DOIs
Publication statusPublished - 1 Oct 2018

Fingerprint

Dive into the research topics of 'Comprehensive Evaluation Method for Combat Effectiveness of Machine Gun Considering Interval Uncertainty'. Together they form a unique fingerprint.

Cite this