TOPSIS
TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a multi-criteria decision-making (MCDM) method used to rank alternatives based on their relative closeness to an ideal solution. It works by identifying the best and worst possible outcomes across criteria, then calculating distances to these reference points to determine optimal choices. This approach is widely applied in fields like engineering, management, and data analysis for objective decision support.
Developers should learn TOPSIS when building systems that require automated or data-driven decision-making, such as recommendation engines, resource allocation tools, or optimization algorithms. It is particularly useful in scenarios with multiple conflicting criteria (e.g., cost vs. performance) where a clear, quantitative ranking is needed, such as in project selection, vendor evaluation, or feature prioritization in software development.