Application of Gale-Shapley algorithm in optimal matching for healthcare facilities to elderly population: the case of Hangzhou, China-Reference-Cited by-同舟云学术

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Application of Gale-Shapley algorithm in optimal matching for healthcare facilities to elderly population: the case of Hangzhou, China

Published:2024-02-23 Issue: Volume: Page:1-12
ISSN:0003-6846
Container-title:Applied Economics
language:en
Short-container-title:Applied Economics

Author:

Huang Lepeng¹^ORCID,Zhang Kexun²,Sun Yiqiao¹,Shen Guoqiang¹,Coursey David³

Affiliation:

1. Department of Regional and Urban Planning, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, Zhejiang Province, China

2. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

3. Deptartment of Public Affairs and Planning, College of Architecture, Planning, and Public Affairs, University of Texas Arlington, Arlington, TX, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00036846.2024.2320175

Reference43 articles.

1. Gale-Shapley Matching Game Selection—A Framework for User Satisfaction

2. Abu-Taieh, E., A. Al-Rasheed, and M. Alohali. 2020. “Multi-Criteria Decision-Making Using an Extended Gale and Shapley (E-GS) Algorithm.” 35th IBIMA Conference, Seville, Spain, 2020, 862–876.

3. Extended-GS optimum solution for multi-criteria and multi-alternative problem

4. Hospital Choice Factors

5. Factors influencing patient choice of hospitals in Riyadh, Saudi Arabia

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