1. 南京信息工程大学 人工智能学院,江苏,南京,210044
2. 广东工业大学 可拓学与创新方法研究所,广东,广州,510006
3. 中国科学院大学 经济与管理学院,北京,100190
汤龙(1985–),男,副教授,博士,主要研究方向为数据挖掘、可拓智能,E-mail:longt@nuist.edu.cn
纸质出版:2026
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汤龙, 李兴森, 张玲玲, 等. 高维简单关联函数:定义、性质与数值模拟[J]. 广东工业大学学报, 2026, 43(4): 115-121.
汤龙, 李兴森, 张玲玲, 等. 高维简单关联函数:定义、性质与数值模拟[J]. 广东工业大学学报, 2026, 43(4): 115-121. DOI: 10.12052/gdutxb.250173.
关联函数作为定量化的数学工具,在可拓集合与可拓策略的生成与评价中发挥关键作用,能够描述对象在论域内是否具有某种性质的程度。本文提出了一种可操作性强的高维简单关联函数构造方法,并对该高维简单关联函数的关键数学性质进行了严格证明。通过数值模拟与实例分析,展示了该方法在多维评价场景中的适用性与优越性,并对比分析了不同类型的实例。研究结果表明,该方法在高维情形下保持良好的可操作性与理论可行性,能够更准确地刻画多评价特征之间的耦合关系,为多特征优度评价提供了一种实用的理论和方法工具,同时可用于进一步完善矛盾问题的定量化判定方法。
Dependent functions serve as a quantitative mathematical tool
playing a key role in the generation and evaluation of extension sets and extension strategies. They characterize the degree to which an object possesses a given property within a universe of discourse. This paper proposes an easily-to-operate construction method for high-dimensional simple dependent functions and provides rigorous proofs of their key mathematical properties. Numerical simulations and case analyses demonstrate the applicability and superiority of this method in multi-dimensional evaluation scenarios
with comparative analyses conducted across various case types. The results indicate that the proposed method maintains high operability and theoretical feasibility even in high-dimensional situations
while more accurately characterizing the coupling relationships among multiple evaluation features. This work provides a practical theoretical and methodological tool for superiority evaluation and can further improve the quantitative assessment of contradictory problems.
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杨春燕. 可拓创新方法[M]. 北京: 科学出版社, 2017.
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