The article explains how a comprehensive evaluation model—combining qualitative and quantitative criteria—can represent the differing standards families use to judge success during Chinese New Year, illustrating the impact of varied weightings on overall scores and personal comfort.
The article explains the rank‑sum ratio method for multi‑criteria decision making, walks through its step‑by‑step procedure, demonstrates a product evaluation case, and provides a full Python implementation to compute standardized scores and final rankings.
This article introduces the entropy weight method for multi‑criteria evaluation, explains its theoretical basis, outlines the calculation steps, presents a supplier‑selection case study, and provides a complete Python implementation to compute indicator weights and overall scores.
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.
This article explains the Rank Sum Ratio (RSR) method, detailing how to rank and normalize multi‑criteria data, compute weighted and unweighted RSR values, and use the resulting scores to objectively rank evaluation objects.
