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《山东大学学报(理学版)》 ›› 2026, Vol. 61 ›› Issue (8): 77-84.doi: 10.6040/j.issn.1671-9352.0.2024.386

• • 上一篇    

基于模糊逻辑的安全博弈不确定性问题

陈玲   

  1. 太原师范学院数学与统计学院, 山西 晋中 030619
  • 发布日期:2026-08-12
  • 作者简介:陈玲(1993— ),女,讲师,博士,研究方向为安全博弈论. E-mail: chenlingmath@163.com
  • 基金资助:
    山西省基础研究计划基金项目(202203021222251,202103021224303)

Uncertainty problem of security same based on fuzzy logic approach

CHEN Ling   

  1. School of Mathematics and Statistics, Taiyuan Normal University, Jinzhong 030619, Shanxi, China
  • Published:2026-08-12

摘要: 通过模糊逻辑推理方法建立两阶段模糊逻辑推理系统。第一阶段,模型将影响攻击者行为策略的因素通过模糊集进行表达,作为第一阶段模糊逻辑系统的输入参数,通过模糊推理规则输出结果。第二阶段,将第一阶段得到的输出结果以及防御者的收益参数同时作为模糊逻辑系统的输入参数,通过模糊逻辑推断系统输出最终防御者的部署策略。

关键词: 模糊逻辑系统, 安全博弈模型, 不确定性决策

Abstract: This paper establishes a two-stage fuzzy logic reasoning system. In the first stage, the model expresses the factors that affect the attackers behavior through fuzzy sets. In the first stage, fuzzy logic system inputs those fuzzy sets and outputs the results based on fuzzy inference rules. In the second stage, the output results obtained in the first stage and the defender's benefit parameters are used as input parameters for the fuzzy logic system, and the final defender deployment strategy is inferred through fuzzy logic inference system.

Key words: fuzzy logic system, security games model, decision under uncertainty

中图分类号: 

  • O225
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