面向不确定性决策分析的数据获取模型与方法综述  

A Survey of Data Acquisition Models and Methods for Uncertainty Decision-Making Analysis

作　　者：刘可欣 张超[1,2] 李文涛 牛宇鸽[1] 卢方蕙 LIU Kexin;ZHANG Chao;LI Wentao;NIU Yuge;LU Fanghui(School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China;Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education(Shanxi University),Taiyuan 030006,China;School of Artificial Intelligence,Southwest University,Chongqing 400715,China)

机构地区：[1]山西大学计算机与信息技术学院,太原030006 [2]计算智能与中文信息处理教育部重点实验室(山西大学),太原030006 [3]西南大学人工智能学院,重庆400715

出　　处：《人工智能科学与工程》2024年第3期1-28,共28页ARTIFICIAL INTELLIGENCE SCIENCE AND ENGINEERING

基　　金：国家自然科学基金项目(12201518);重庆自然科学基金项目(CSTB2023NSCQ-MSX0152);大学生创新创业训练项目(202410108008)。

摘　　要：不确定性决策是指在存在未知或难以准确预测结果情况下做出决策的过程。该文旨在研究在不确定性决策中,用4种数据获取方法来应对不确定性。这些方法包括:①使用小数据集;②利用开放数据集;③采用数据挖掘视角下的情感分析和遥感分析;④通过互联网问卷调查收集数据。该文首先回顾4种数据获取方法,并阐述各自的主要特点及发展历程。其次,阐述这4种数据获取方法在不确定性决策中的应用,并附有说明性示例。然后,讨论4种数据获取方法的局限性,并提出了未来研究的潜在趋势。最后,对全文进行总结。总体来说,该文为不确定性决策问题的研究提供了理论探讨和实践指导,以推动人工智能和决策科学领域的发展和创新,为决策者提供有效的数据支持,从而提高决策的科学性和准确性。Uncertainty decision-making entails making choices in contexts where outcomes are ambiguous or challenging to predict precisely.This paper examines four approaches to data acquisition in such scenarios:①Small dataset;②Open dataset;③Sentiment analysis and remote sensing analysis from the perspective of data mining;④Questionnaire survey method from the perspective of the Internet.Initially,the paper reviews these four methods,outlining their key features and historical evolution.Subsequently,it delves into their applications in uncertainty decision-making,supported by illustrative case studies.Furthermore,the paper identifies limitations of these data acquisition techniques and suggests potential directions for future research.In conclusion,this paper offers both theoretical insights and practical guidelines for the study of uncertainty decision-making,aiming to contribute to advancements in artificial intelligence and decision science,ultimately assisting decision-makers in making more informed and accurate decisions.

关 键 词：不确定性决策 数据获取 小数据集 开放数据集 数据挖掘 互联网 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]