电子科技大学学报2024，Vol.53Issue(2)：284-290,7.DOI:10.12178/1001-0548.2022355
量子模糊信息管理数学模型研究
Research on Mathematical Model of Quantum Fuzzy Information Management
摘要
Abstract
In order to efficiently deal with the complexity and uncertainty of big data,this paper integrates"uncertainty problem + intuitionistic fuzzy set theory + quantum computing",to build a quantum fuzzy information management mathematical model based on intuitionistic fuzzy set theory.To verify the feasibility,rationality and validity of this model,a simulation experiment of quantum fuzzy neural network based on parameterized quantum circuit is designed under uncertainty environment.The experimental results show that the quantum fuzzy neural network based on this model can more objectively,accurately and comprehensively reflect the knowledge information contained in each object in the uncertainty problem,and improve the accuracy of the algorithm processing big data.关键词
大数据/量子计算/直觉模糊集理论/量子模型信息管理/量子模糊神经网络Key words
big data/quantum computing/intuitionistic fuzzy set theory/quantum model information management/quantum fuzzy neural networks分类
信息技术与安全科学引用本文复制引用
张仕斌,黄晨猗,李晓瑜,郑方聪,李闯,刘兆林,杨咏熹..量子模糊信息管理数学模型研究[J].电子科技大学学报,2024,53(2):284-290,7.基金项目
国家自然科学基金(62076042) （62076042）
国家重点研发计划"网络空间安全治理"重点专项课题(2022YFB3103103) （2022YFB3103103）
四川省重点研发计划(2022YFS0571) （2022YFS0571）
成都市重点研发项目(2023-XT00-00002-GX) （2023-XT00-00002-GX）
