Weighted Sum Model
The Weighted Sum Model (WSM) is a multi-criteria decision-making (MCDM) technique used to evaluate and rank alternatives based on multiple criteria by assigning weights to each criterion and summing the weighted scores. It involves normalizing the performance values of alternatives across criteria, multiplying by the assigned weights, and aggregating to produce a total score for each alternative. This method is widely applied in fields like operations research, engineering design, and business analytics to support objective decision-making.
Developers should learn WSM when building systems that require ranking or selection among multiple options with conflicting criteria, such as in recommendation engines, resource allocation tools, or optimization algorithms. It is particularly useful in data-driven applications where decisions must be transparent and based on quantifiable factors, helping to automate and justify choices in software like project management tools or AI-driven analytics platforms.