This study evaluates ten municipal solid waste management (MSWM) scenarios in Lahore, Pakistan, using four multi-criteria decision-making (MCDM) techniques: fuzzy logic, Analytical Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and PROMETHEE II. The evaluation is based on seven criteria, including capital expenditure (Capex), operating expenditure (Opex), revenue generation, environmental impact, social impact, resource availability, and qualified personnel. The study aims to identify the most appropriate waste management strategy that is environmentally friendly and economically viable. The results indicate that Scenario 9, which combines 54% anaerobic digestion (AD), 37% gasification, and 9% landfilling, is the most effective option. This scenario ranks first in both TOPSIS and PROMETHEE II rankings, demonstrating its proximity to the ideal solution and high preference score. Scenario 6, involving 54% composting, 37% hydrothermal liquefaction (HTL), and 9% landfilling, ranks second, followed by Scenario 7, which includes 54% AD, 37% refuse-derived fuel (RDF), and 9% landfilling. The study highlights the importance of integrating waste-to-energy technologies, such as AD and gasification, to reduce waste volume and generate renewable energy. These findings are valuable for policymakers and stakeholders in developing sustainable waste management strategies, particularly in cities facing similar challenges. The research underscores the need for ongoing monitoring and adaptation to address evolving waste management issues in Lahore.This study evaluates ten municipal solid waste management (MSWM) scenarios in Lahore, Pakistan, using four multi-criteria decision-making (MCDM) techniques: fuzzy logic, Analytical Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and PROMETHEE II. The evaluation is based on seven criteria, including capital expenditure (Capex), operating expenditure (Opex), revenue generation, environmental impact, social impact, resource availability, and qualified personnel. The study aims to identify the most appropriate waste management strategy that is environmentally friendly and economically viable. The results indicate that Scenario 9, which combines 54% anaerobic digestion (AD), 37% gasification, and 9% landfilling, is the most effective option. This scenario ranks first in both TOPSIS and PROMETHEE II rankings, demonstrating its proximity to the ideal solution and high preference score. Scenario 6, involving 54% composting, 37% hydrothermal liquefaction (HTL), and 9% landfilling, ranks second, followed by Scenario 7, which includes 54% AD, 37% refuse-derived fuel (RDF), and 9% landfilling. The study highlights the importance of integrating waste-to-energy technologies, such as AD and gasification, to reduce waste volume and generate renewable energy. These findings are valuable for policymakers and stakeholders in developing sustainable waste management strategies, particularly in cities facing similar challenges. The research underscores the need for ongoing monitoring and adaptation to address evolving waste management issues in Lahore.