A new consensus mining approach to group ranking problems involving different intensities of preferences-Reference-Cited by-同舟云学术

A new consensus mining approach to group ranking problems involving different intensities of preferences

Published:2019-05 Issue: Volume:131 Page:320-326
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Ma Li-Ching^ORCID

Funder

Ministry of Science and Technology of the Republic of China

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference29 articles.

1. Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules in large databases. In Proceedings of the 20th international conference on very large data bases (pp. 487–499).

2. Individual values and social choice;Arrow,1951

3. Collected papers;Arrow,1983

4. A theory of measuring, electing and ranking;Balinski;Proceedings of National Academy of Science, USA,2007

5. Majority judgment;Balinski,2011

Cited by 7 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. Ranking hotel products by integrating online ratings from multiple platforms;Information & Management;2024-06

2. An Outranking-Based Approach Modeling Satisfaction–Dissatisfaction Intensity, Preference Dependence, and Discordance Strength in Group Decision;Group Decision and Negotiation;2024-03-19

3. Tolerance framework for robust group multiple criteria decision making;Expert Systems with Applications;2022-12

4. Mining consensus sequence in multi-criteria group decision making with incomparability of alternatives and conflicts of experts;Information Sciences;2022-09

5. Novel next-group recommendation approach based on sequential market basket information;Electronic Commerce Research;2022-03-19