Your browser doesn't support javascript.
Hesitant Fuzzy Preference Based GMCR-AHP Model for Conflict Solution in Work Resumption of Large-scale Engineering Projects Affected by Epidemic
2022 International Conference on Computation, Big-Data and Engineering, ICCBE 2022 ; : 140-145, 2022.
Article in English | Scopus | ID: covidwho-2078210
ABSTRACT
Schedule control is a key part of project management. The delayed schedule leads to a conflict of interest for the stakeholders involved in the project management process. The degrees of conflict resolution usually reflect the level of project management. We propose a graph model for conflict resolution (GMCR) for the improvement of interest conflicts among stakeholders including developers, contractors, and governments in engineering projects affected by the COVID-19 pandemic-projects suspended due to the epidemic gradually resumed work and production with the recovery of the epidemic. The developer asks the contractor to speed up the process to complete the project within the agreed time limit. However, the contractor has a heavy financial burden during the epidemic. Speeding up the process means more expenses, resulting in bargaining and further conflict. The model uses hesitant fuzzy preferences to express the preference information of DMs composed of multiple individuals, develops an analytic hierarchy process (AHP) that considers the potential contribution of stakeholders to prioritize relative preferences, and finally uses hesitant fuzzy preference relations to extended stability analysis and obtains equilibrium decisions, which verifies the effectiveness of the method. © 2022 IEEE.
Keywords
AHP

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 International Conference on Computation, Big-Data and Engineering, ICCBE 2022 Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 International Conference on Computation, Big-Data and Engineering, ICCBE 2022 Year: 2022 Document Type: Article