Niu, X.; Song, Y.; Xu, Z. Large-Scale Group Decision-Making Method with Public Participation and Its Application in Urban Management. Mathematics2024, 12, 2528.
Niu, X.; Song, Y.; Xu, Z. Large-Scale Group Decision-Making Method with Public Participation and Its Application in Urban Management. Mathematics 2024, 12, 2528.
Niu, X.; Song, Y.; Xu, Z. Large-Scale Group Decision-Making Method with Public Participation and Its Application in Urban Management. Mathematics2024, 12, 2528.
Niu, X.; Song, Y.; Xu, Z. Large-Scale Group Decision-Making Method with Public Participation and Its Application in Urban Management. Mathematics 2024, 12, 2528.
Abstract
Civic participation is of great significance to urban management decision-making. In order to facilitate citizens to participate in city management decision-making, this paper proposes a large-scale group decision-making (LSGDM) method based on multi-granular probabilistic linguistic preference relations (MG-PLPRs). First, each decision maker selects a language terms set from the multi-granularity language terms set to represent individual preference relations and the MG-PLPRs are obtained by statistical calculation to represent sub-group’s preferences information. Then, an optimization model based on the expected consistency of PLPR and consensus measure of groups is established to achieving consensus reaching processes, which can ensure satisfactory individual consistency and group consensus. Finally, the validity and applicability of the proposed method is verified by a case of a city "shared garden" site selection with the participation of citizens.
Keywords
Large-scale group decision-making; Public participation; Multi-granular probabilistic linguistic preference relations; Consensus reaching process
Subject
Business, Economics and Management, Business and Management
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.