A Deeper Monitoring and Evaluation of the Nature of Barriers to Climate Change Adaptation Planning under Fuzzy Multi-Criteria Decision Making Methodology

Main Article Content

Mohammed Jameel
Sudeep Tanwar

Abstract

This study developed a decision-making model to evaluate the barriers to climate change. The climate change barriers have various criteria, such as economic, social, technological, market, environmental, and time frame barriers. These barriers can be evaluated by the multi-criteria decision-making (MCDM) methodology. The MCDM methodology is employed to deal with various criteria and control them. The MCDM methodology is employed in the decision-making model with multiple criteria. The TOPSIS method is an MCDM method used in this paper to rank the alternatives under different criteria. The TOPSIS method is integrated with the spherical fuzzy set (SFS) to overcome the uncertainty in the evaluation process. This study used eight criteria and ten alternatives to be evaluated. The results show the economic criterion has the highest importance and social barriers have the lowest importance. Sensitivity analysis is employed in this study to show the stability of the results. The nine cases of sensitivity analysis are proposed, so the results show the rank is stable.

Downloads

Download data is not yet available.

Article Details

How to Cite
Jameel, M., & Tanwar, S. (2024). A Deeper Monitoring and Evaluation of the Nature of Barriers to Climate Change Adaptation Planning under Fuzzy Multi-Criteria Decision Making Methodology . Multicriteria Algorithms With Applications, 2, 43-52. https://doi.org/10.61356/j.mawa.2024.26661
Section
Original Article

How to Cite

Jameel, M., & Tanwar, S. (2024). A Deeper Monitoring and Evaluation of the Nature of Barriers to Climate Change Adaptation Planning under Fuzzy Multi-Criteria Decision Making Methodology . Multicriteria Algorithms With Applications, 2, 43-52. https://doi.org/10.61356/j.mawa.2024.26661