基于灰色模糊理论的协同优化与深度融合相关模式分析与研究

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI:10.1145/3598438.3598458

Huang Fashuang, Fang Fang

{"title":"基于灰色模糊理论的协同优化与深度融合相关模式分析与研究","authors":"Huang Fashuang, Fang Fang","doi":"10.1145/3598438.3598458","DOIUrl":null,"url":null,"abstract":"Collaborative optimization and deep integration are the key tasks of the current college education reform. It is difficult to quantitatively analyze the fusion process and the advantages and disadvantages of the methods. This paper adopts the gray fuzzy theoretical model, combines the fuzzy mathematics theory and the gray system theory, and conducts quantitative analysis on the vague qualitative indicators, so as to obtain more reliable analysis results.","PeriodicalId":338722,"journal":{"name":"Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis and Research on the Related Modes of Collaborative Optimization and Deep Fusion Based on Grey Fuzzy Theory\",\"authors\":\"Huang Fashuang, Fang Fang\",\"doi\":\"10.1145/3598438.3598458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Collaborative optimization and deep integration are the key tasks of the current college education reform. It is difficult to quantitatively analyze the fusion process and the advantages and disadvantages of the methods. This paper adopts the gray fuzzy theoretical model, combines the fuzzy mathematics theory and the gray system theory, and conducts quantitative analysis on the vague qualitative indicators, so as to obtain more reliable analysis results.\",\"PeriodicalId\":338722,\"journal\":{\"name\":\"Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3598438.3598458\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3598438.3598458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

协同优化与深度融合是当前高校教育改革的关键任务。很难定量分析融合过程和各种方法的优缺点。本文采用灰色模糊理论模型，将模糊数学理论与灰色系统理论相结合，对模糊的定性指标进行定量分析，从而获得更可靠的分析结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Analysis and Research on the Related Modes of Collaborative Optimization and Deep Fusion Based on Grey Fuzzy Theory

Collaborative optimization and deep integration are the key tasks of the current college education reform. It is difficult to quantitatively analyze the fusion process and the advantages and disadvantages of the methods. This paper adopts the gray fuzzy theoretical model, combines the fuzzy mathematics theory and the gray system theory, and conducts quantitative analysis on the vague qualitative indicators, so as to obtain more reliable analysis results.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence

自引率

0.00%

发文量