直觉模糊序信息系统中双量化粗糙集模型  

Double-quantitative Rough Set Model in Intuitionistic Fuzzy Ordered Information System

作　　者：汤悦 李文涛[1] 徐伟华 詹弢 TANG Yue;LI Wen-tao;XU Wei-hua;ZHAN Tao(College of Artiticial Intelligence,Southwest University,Chongqing 400715,China;College of Mathematics and Statistics,Southwest University,Chongqing 400715,China)

机构地区：[1]西南大学人工智能学院,重庆400715 [2]西南大学数学与统计学院,重庆400715

出　　处：《模糊系统与数学》2021年第6期87-100,共14页Fuzzy Systems and Mathematics

基　　金：大学生创新创业训练计划项目(rgznxy202002,101202010635586);国家自然科学基金资助项目(61772002,61976245);中央高校基本科研业务费项目(SWU119045);重庆市教育委员会“成渝地区双城经济圈建设”科技创新项目(KJCX2020009);重庆市教育委员会科学技术研究计划项目(KJQN202100205;KJQN202100206,KJQN202003806)。

摘　　要：研究经典信息系统中单量化粗糙集模型在直觉模糊序信息系统中的表达形式,建立直觉模糊序信息系统下双量化粗糙集模型,给出直觉模糊序信息系统下双量化粗糙集模型求解上近似和下近似的算法,最后通过实际案例分析构造的模型。This paper considers the expression form of single quantization rough set model in intuitionistic fuzzy ordered information system, establishes two double quantization rough set models in intuitionistic fuzzy ordered information system. Moreover, two algorithms for solving the upper approximation and lower approximation of double quantization rough set model in intuitionistic fuzzy ordered information system are presented. Finally, the constructed models are analyzed through an actual example.

关 键 词：直觉模糊集 序信息系统 双量化 粗糙集 

分 类 号：O159[理学—数学]