<p>The concept of an integrated urban waste management system with resource recovery and waste-to-energy technologies has emerged as a highly effective and sustainable solution for urban sustainable development. By integrating multi-objective programming and fuzzy possibilistic theory, this paper developed a novel multi-objective possibilistic programming for urban solid waste management under uncertainties. The proposed model can effectively deal with ambiguous information and multiple objectives in the real-life decision-making process. Particularly, with the assistance of the AUGMECON approach and multi-criteria decision-making method, the optimal strategies complying with decision makers’ preferences are recommended for the technology portfolio, expansion investment, and waste stream allocation. The methodology framework was validated by a case study in Beijing, China. The findings suggest that incineration and anaerobic digestion will play a significant role in local waste management, but with more concerns on the environmental externality costs, incineration may not be the optimum choice. Subsidy withdrawal may bring negative influences on both economic and environmental benefits unless significant technology cost reduction in the future. In addition, enhancing waste source separation from the management level is essential for effective waste management. It is therefore advisable to implement suitable incentives and promote public involvement in waste source sorting.</p>