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The Entropy Weight Method (EWM) offers an objective, data‑driven way to calculate indicator weights by measuring information entropy, avoiding subjective bias and improving the reliability of multi‑criteria evaluations across fields such as water quality and resource management.
This article reviews common techniques for determining indicator weights in multi‑criteria assessments, comparing subjective approaches such as the Delphi and Analytic Hierarchy Process with objective methods like coefficient of variation, entropy, correlation‑based and CRITIC, illustrating each with procedural steps, formulas, empirical data from listed companies, and comparative analysis of results.
Entropy Weight Method (EWM) offers an objective, data‑driven way to determine indicator weights by measuring information entropy, avoiding subjective bias; this article explains its concept, step‑by‑step calculation process, and showcases applications in water quality and resource management evaluations.