Research on a decision-making method for aging transformation alternatives in old communities based on large-scale group decision-making
- DOI
- 10.2991/978-2-38476-257-6_73How to use a DOI?
- Keywords
- Large-scale group decision-making; Old communities; aging transformation; Alternative selection; Trust propagation
- Abstract
With serious aging, the aging transformation of older communities is important. To meet the needs of a larger number of residents, large-scale group decision-making (LSGDM) can be used to find the most appropriate transformation alternative. This paper aims to construct an LSGDM model based on trust propagation and conflict detection and elimination. The model takes into account the social relationships of community residents. Additionally, it can detect conflicts of opinions of decision-makers in the alternative selection and eliminate them. The model is simple and easy to implement, and it can be easily applied in real life. This LSGDM model can be feasibly applied to practical scenarios. Thus, the model applies to the aging transformation of old communities. The research results can also be used as a reference for similar decisions.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Likun Zhao AU - Mengqian An PY - 2024 DA - 2024/05/27 TI - Research on a decision-making method for aging transformation alternatives in old communities based on large-scale group decision-making BT - Proceedings of the 2024 International Conference on Applied Economics, Management Science and Social Development (AEMSS 2024) PB - Atlantis Press SP - 625 EP - 634 SN - 2352-5428 UR - https://doi.org/10.2991/978-2-38476-257-6_73 DO - 10.2991/978-2-38476-257-6_73 ID - Zhao2024 ER -