Data-driven preference learning in multiple criteria decision making in the evidential reasoning context-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Data-driven preference learning in multiple criteria decision making in the evidential reasoning context

Published:2021-04 Issue: Volume:102 Page:107109
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Fu Chao,Xue Min,Liu Weiyong,Xu Dongling,Yang Jianbo

Funder

National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference38 articles.

1. Robust ordinal regression in preference learning and ranking;Corrente;Mach. Learn.,2013

2. Social recommendation via multi-view user preference learning;Lu;Neurocomputing,2016

3. Automatic preference learning on numeric and multi-valued categorical attributes;Marin;Knowl.-Based Syst.,2014

4. An evolutionary strategic weight manipulation approach for multi-attribute decision making: TOPSIS method;Dutta;Internat. J. Approx. Reason.,2021

5. The 2-rank additive model with axiomatic design in multiple attribute decision making;Wu;European J. Oper. Res.,2020

Cited by 9 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. Multi-modal and multi-criteria conflict analysis model based on deep learning and dominance-based rough sets: Application to clinical non-parallel decision problems;Information Fusion;2025-01

2. Intelligent characteristic objects method (INCOME): a data knowledge-based multi-criteria decision analysis;Artificial Intelligence Review;2024-08-26

3. A weighted fuzzy belief factor-based D-S evidence theory of sensor data fusion method and its application to face recognition;Multimedia Tools and Applications;2023-06-23

4. Plausibility Entropy: A New Total Uncertainty Measure in Evidence Theory Based on Plausibility Function;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023-06

5. Discrete choice models with Atanassov-type intuitionistic fuzzy membership degrees;Information Sciences;2023-04

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