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区间直觉模糊信息系统中的信息粒度
引用本文:杨伟萍,林梦雷. 区间直觉模糊信息系统中的信息粒度[J]. 计算机应用, 2012, 32(6): 1657-1661. DOI: 10.3724/SP.J.1087.2012.01657
作者姓名:杨伟萍  林梦雷
作者单位:1. 漳州师范学院 数学与信息科学系, 福建 漳州 3630002. 漳州师范学院 计算机科学与工程系, 福建 漳州 363000
基金项目:国家自然科学基金资助项目,福建省资助省属高校科研专项项目
摘    要:
区间直觉模糊信息系统比一般信息系统更能全面、细致、直观地描述和刻画决策信息,对其进行不确定性研究具有重要的意义。利用信息粒度对区间直觉模糊信息系统的不确定性进行了刻画,给出了区间直觉模糊粒度结构的交、并、差、补等四种运算。提出了区间直觉模糊粒度结构上的三种偏序关系,并建立了它们之间的联系。定义了区间直觉模糊信息粒度和区间直觉模糊信息粒度的公理化,并研究它们的性质。

关 键 词:粒度计算  区间直觉模糊信息粒度  偏序关系  公理化  
收稿时间:2011-11-08
修稿时间:2012-01-13

Information granularity in interval-valued intuitionistic fuzzy information systems
YANG Wei-ping , LIN Meng-lei. Information granularity in interval-valued intuitionistic fuzzy information systems[J]. Journal of Computer Applications, 2012, 32(6): 1657-1661. DOI: 10.3724/SP.J.1087.2012.01657
Authors:YANG Wei-ping    LIN Meng-lei
Affiliation:1. Department of Mathematics and Information Science, Zhangzhou Normal University, Zhangzhou Fujian 363000,China2. Department of Computer Science and Engineering, Zhangzhou Normal University, Zhangzhou Fujian 363000, China
Abstract:
Interval-valued intuitionistic fuzzy information system is able to be more comprehensively,detailedly and visually depict and characterize the decision-making information than the general information system,so reaseaching its research uncertainty is of great importance.With the help of information granularity,this paper characterized the uncertainty of the interval-valued intuitionistic fuzzy information system.It constructed intersection,union,subtraction and complement four operators among granular structures,introduced three new partial order relations in interval-valued intuitionistic fuzzy information systems and established the relationships among them.It defined an interval-valued intuitionistic fuzzy information granularity and an axiomatic approach to interval-valued intuitionistic fuzzy information granularity in interval-valued intuitionistic fuzzy information systems.Finally,it investigated the properties of interval-valued intuitionistic fuzzy information granularity.
Keywords:granularity computing  interval-valued intuitionistic fuzzy information  partial order relation  axiomatization
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