相关技术

直觉模糊决策粗糙集及其在目标识别中的应用

  • 陈玉金 ,
  • 李续武
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  • 空军工程大学防空反导学院, 西安 710051
陈玉金(1992-),男,辽宁大连人,硕士研究生,研究方向:粗糙集与智能信息处理。

收稿日期: 2017-02-22

  网络出版日期: 2025-05-12

基金资助

国家自然科学基金(61503407)资助

Intuitionistic Fuzzy Decision-theoretic Rough Sets and Its Application in Targets Recognition

  • CHEN Yujin ,
  • LI Xuwu
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  • Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China

Received date: 2017-02-22

  Online published: 2025-05-12

摘要

现有决策粗糙集模型不能够细腻的描述包含模糊信息的决策。针对上述不足,构造基于直觉模糊相似关系的决策粗糙集模型,给出相应的属性约简算法和决策规则提取方法。然后,从最小机会损失决策准则的角度提出了一种基于多重代价的阈值确定方法。最后,通过空袭武器目标识别的实例说明具体的应用过程。结果表明,该方法对于包含模糊信息的决策具有良好的识别能力。

本文引用格式

陈玉金 , 李续武 . 直觉模糊决策粗糙集及其在目标识别中的应用[J]. 弹箭与制导学报, 2017 , 37(6) : 121 -126 . DOI: 10.15892/j.cnki.djzdxb.2017.06.028

Abstract

The existing decision-theoretic rough sets model could not describe the decision which contained fuzzy information delicately. For the above shortage, a decision-theoretic rough sets model based on an intuitionistic fuzzy similarity relation was proposed and the corresponding attribute reduction algorithm and decision rule extraction method were given. Then, a determination method for threshold based on multiple cost was proposed from the point of view of minimum opportunity loss decision rule. Finally, an example of air-attack weapon recognition was given to illuminate the specific application process. The result shows that the method has good recognition ability for the decision making with fuzzy information.

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