This study addresses the challenges of managing climate change risks in Africa by integrating the Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods within a spherical fuzzy (SF) framework. The research identifies four primary challenges: limited access to finance, insufficient climate data, fragmented adaptation programs, and lack of well-coordinated capacity-building programs. The SF-SWARA method is used to determine the relative importance of these criteria, while the SF-WASPAS method ranks the strategies. The study proposes a well-coordinated capacity-building program as the most effective strategy to address these challenges. A sensitivity analysis is conducted to validate the model's applicability, showing that the overall ranking of strategies remains consistent despite changes in the threshold value. The findings provide managerial insights for policymakers and stakeholders, emphasizing the need for increased awareness, strategic planning, and improved climate data collection and projections. The study contributes to the literature by offering a tailored framework for climate change risk management in Africa and by demonstrating the effectiveness of integrated SWARA and WASPAS methods in this context. However, it also acknowledges limitations, such as the need for a comparative analysis with other fuzzy-based approaches and the exclusion of regional diversity in Africa.This study addresses the challenges of managing climate change risks in Africa by integrating the Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods within a spherical fuzzy (SF) framework. The research identifies four primary challenges: limited access to finance, insufficient climate data, fragmented adaptation programs, and lack of well-coordinated capacity-building programs. The SF-SWARA method is used to determine the relative importance of these criteria, while the SF-WASPAS method ranks the strategies. The study proposes a well-coordinated capacity-building program as the most effective strategy to address these challenges. A sensitivity analysis is conducted to validate the model's applicability, showing that the overall ranking of strategies remains consistent despite changes in the threshold value. The findings provide managerial insights for policymakers and stakeholders, emphasizing the need for increased awareness, strategic planning, and improved climate data collection and projections. The study contributes to the literature by offering a tailored framework for climate change risk management in Africa and by demonstrating the effectiveness of integrated SWARA and WASPAS methods in this context. However, it also acknowledges limitations, such as the need for a comparative analysis with other fuzzy-based approaches and the exclusion of regional diversity in Africa.