Research on mixed decision implications based on formal concept analysis

Author:

Ren Xingguo,Li DeyuORCID,Zhai Yanhui

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Engineering (miscellaneous),Information Systems and Management,Information Systems,Computer Science Applications

Reference49 articles.

1. Machine learning based diabetes prediction and development of smart web application;Ahmed;International Journal of Cognitive Computing in Engineering,2021

2. Dual hesitant fuzzy graphs with applications to multi-attribute decision making;Bai;International Journal of Cognitive Computing in Engineering,2020

3. Incomplete intuitionistic fuzzy behavioral group decision-making based on multigranulation probabilistic rough sets and multimoora for water quality inspection;Bai;Journal of Intelligent and Fuzzy Systems,2022

4. Unlabelled text mining methods based on two extension models of concept lattices;Chen;International Journal of Machine Learning and Cybernetics,2020

5. A semantic approach to concept lattice-based information retrieval;Codocedo;Annals of Mathematics and Artificial Intelligence,2014

Cited by 5 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. The Researches on Knowledge Distance and Its Relative Extensions;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-04-05

2. Rough set decision algorithms for modeling with uncertainty;Journal of Computational and Applied Mathematics;2024-02

3. Adjustable Multigranulation SVN Probabilistic Rough Sets With Application to Teamwork Evaluations;Handbook of Research on the Applications of Neutrosophic Sets Theory and Their Extensions in Education;2023-06-30

4. A Collaborative Multi-Granularity Architecture for Multi-Source IoT Sensor Data in Air Quality Evaluations;Electronics;2023-05-24

5. A novel decision model with Einstein aggregation approach for garbage disposal plant site selection under $ q $-rung orthopair hesitant fuzzy rough information;AIMS Mathematics;2023

同舟云学术

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