The selection of contractors entails multiple uncertainties, including the lack of clear delineation of contractor qualifications, ambiguity surrounding project manager capabilities, and the uncertain nature of carbon emissions. These uncertainties compound the complexity involved in genuinely evaluating and choosing contractors. This paper establishes a fuzzy multi-objective contractor selection model that accounts for cost reduction, optimization of contractor qualifications, organizational management enhancement, carbon emissions reduction, and reputation optimization. Leveraging the Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Compromise Programming (F-CP) methods, we have devised a fuzzy multi-objective contractor selection model and outlined the procedural steps for its implementation. A case study was conducted to validate the effectiveness of the model we proposed.By applying this model to the case, we successfully transformed the complex multi-objective programming into a straightforward single-objective linear programming. Furthermore, based on the model, the weights assigned to cost, qualification indicators, management level, carbon emissions, and contractor reputation are 0.54, 0.09, 0.05, 0.19, and 0.13, respectively. By solving the model, we were able to identify the most suitable contractor.This paper aids the decision-making process in selecting an appropriate low-carbon contractor.
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