Hesitant fuzzy set based computational method for financial time series forecasting
Author:
Publisher
Springer Science and Business Media LLC
Link
http://link.springer.com/content/pdf/10.1007/s41066-018-00144-4.pdf
Reference62 articles.
1. Abhishekh, Gautam SS, Singh SR (2018a) A score function-based method of forecasting using intuitionistic fuzzy time series. New Math Nat Comput 14(01):91–111
2. Abhishekh, Gautam SS, Singh SR (2018b) A refined method of forecasting based on high-order intuitionistic fuzzy time series data. Prog Artif Intell 7:339. https://doi.org/10.1007/s13748-018-0152-x
3. Aladag CH, Basaran MA, Egrioglu E, Yolcu U, Uslu VR (2009) Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. Expert Syst Appl 36(3):4228–4231
4. Aladag CH, Yolcu U, Egrioglu E, Dalar AZ (2012) A new time invariant fuzzy time series forecasting method based on particle swarm optimization. Appl Soft Comput 12(10):3291–3299
5. Alpaslan F, Cagcag O, Aladag CH, Yolcu U, Egrioglu E (2012) A novel seasonal fuzzy time series method. Hacet J Math Stat 41(3):375–385
Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Strong (α, k)-cut and computational-based segmentation based novel hesitant fuzzy time series forecasting model;Applied Soft Computing;2024-03
2. HFS-based computational method for weighted fuzzy time series forecasting model using techniques of adaptive radius clustering and grey wolf optimization;Granular Computing;2023-12-27
3. Multi-criteria decision analysis: Hesitant fuzzy methodology towards expert systems for analyzing financial markets dynamics;Soft Computing;2023-11-18
4. Optimizing financial engineering time indicator using bionics computation algorithm and neural network;Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023);2023-10-17
5. Probabilistic fuzzy set and particle swarm optimization based computational method for fuzzy time series forecasting;2023-04-14
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3