数据合成-分解的属性关系与数据智能获取  

Attribute Relations of Data Compound-decomposition and Data Intelligent Acquisition

作　　者：陈保会 张凌 CHEN Bao-hui;ZHANG Ling(School of Mathematics and Information Engineering,Longyan University,Longyan 364012,China)

机构地区：[1]龙岩学院数学与信息工程学院,福建龙岩364012

出　　处：《模糊系统与数学》2021年第3期167-174,共8页Fuzzy Systems and Mathematics

基　　金：福建省教育厅教育科研项目(JT180524);龙岩市科技局项目(2019LYF12010);教育部产学合作协同育人项目(201901137037)。

摘　　要：利用逆P-集合模型,逻辑特征给出∨型大数据的新研究,得到∨型大数据的一些新的理论结果,这些新的理论结果隐藏在∨型大数据内。∨型大数据的特征与逆P-集合的特征相同。这些新的研究是:给出数据合成-分解的生成与它们的属性关系;给出属性推理与推理结构;给出数据智能获取与智能获取定理;给出数据颗粒概念与数据颗粒区间定理;给出数据智能获取识别准则与数据智能获取-识别的简单应用。By using Inverse Packet Set model and its logical features,new researches on∨type big data are given,and some new theoretical results hidden in∨type big data are obtained.The features of∨type big data are the same as those of Inverse Packet Sets.There are these new studies.The generation of data compound-decomposition and their attribute relations are given.Attribute reasoning and reasoning structure are proposed.The data intelligent acquisition and intelligent acquisition theorems are given.The concept of data granularity and the data granularity interval theorems are obtained.The intelligent acquisition recognition principle of data and a simple application of data intelligent acquisition-recognition are given.

关 键 词：数据 逆P-集合 数据合成-分解 数据智能获取定理 应用 

分 类 号：O144[理学—数学] TP391[理学—基础数学]