.png){kind=icon}
返回
A new preference classification approach: The ?-dissensus cluster algorithm
.png){kind=icon}
OA
AI
DOI：10.1016/j.omega.2022.102663.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Preferences and their classification are essential in many decision making processes. However, grouping preferences is not an easy matter because their very nature. In this paper a new preference clustering algorithm is proposed that incorporates the key features of preferences, usually represented by order vectors, and it takes ideas from Social Choice Theory, Decision Making Theory and Cluster Analysis as sources of inspiration. Additionally, a study of the main properties of our proposal is included as well as several internal validation measurements. Finally and in order to improve understanding of the proposed approach, assorted experiments on real data are included. (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
Keyword:
Preferences
Weak orders
Preference grouping
Preference cohesion
Clustering for orders vectors
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
O
IF:
7.2
论文数:
3.7K
被引数:
1.4W
机构
引用论文
分享收藏High-risk factors for adverse pregnancy outcomes in systemic lupus erythaematosus: a retrospective study of a Chinese population.png)
BMJ Open
OAAI
BMJ OpenIF0
OAAI分享收藏
查看更多内容