基于IVSFS的作戰(zhàn)威脅人機協(xié)同評估框架

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中圖分類號：V271 文獻標志碼：A DOI：10.12305/j.issn.1001-506X.2025.06.14

Abstract：In response to theuncertainty brought about by diferent styles of warfare in the era of artificial intellgence，a human-machine collaborativeassessment framework of combat threat basedon interval-value spherical fuzzy set（IVSFS） is proposed.IVSFS describes decision information in more detail by membership， non-membership，hesitation，and abstention in form of interval numbers.Firstly，a method is proposed to fuse polymorphic temporal interval numbers into IVSFS to process the objective data of the target.Then，the subjective attributes of the target are obtained by experts through the useofa fuzzy terminology set to generate IVSFS.Based on two sets of data，fuzzy entropy is used to obtain indicator weights and establishes an evaluation framework based on grey relation analysis-cumulative prospect theory-technique for order preference by similarityto ideal solution（GRA-CPT-TOPSIS）toassess the threat level of thetarget through human-machine colaboration.Simulation results show that the proposed method is feasible and efective incomprehensively considering the inherent attributes and dynamic characteristics of the target，making it more suitable for practical warfare scenarios.

Keywords：interval-value spherical fuzzy set （IVSFS）；human-machine collboration；polymorphic data fusion；threat assessment

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