Fuzzy Decision-Making Models for Renewable Energy Investments
DOI:
https://doi.org/10.48001/978-81-980647-1-4-2Keywords:
Fuzzy Logic, FMCDM, FAHP, Sustainability, Fuzzy TOPSIS, Investment StrategiesAbstract
Achieving sustainable development goals and addressing climate issues requires a shift toward renewable energy. Traditional decision-making models struggle with the uncertainties in real-world data. This chapter explores fuzzy decision-making models, such as Fuzzy TOPSIS, FAHP, and FMCDM, to improve investment evaluation in renewable energy. These models handle uncertainty and make decision procedures more flexible. Case studies illustrate practical applications, such as optimizing investment plans and ranking criteria like start-up costs, maintenance, energy generation, environmental impact, and public opinion. The chapter emphasizes the importance of fuzzy decision-making in overcoming uncertainties and promoting sustainable energy investments. It highlights the need for sophisticated tools and ethical accountability to strengthen renewable energy strategies for a sustainable future.
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