How to Convert Diverse Evaluation Metrics into a Unified Large-Scale Indicator
This article explains how to standardize different types of evaluation metrics—extremely small, centered, and interval—by transforming them into uniformly large indicators, ensuring consistent scoring direction for comprehensive assessment.
1 Metric Standardization
Metric standardization means unifying the direction of evaluation indicators. For example, if a smaller value yields a higher score, we transform it so that larger values correspond to higher scores.
In an evaluation indicator system, there may be extremely large, extremely small, centered, and interval-type indicators, each with distinct characteristics. When different types coexist, they are often standardized before comprehensive evaluation.
For instance, all indicators can be converted to extremely large indicators; the common practice is to transform non‑extremely‑large indicators into extremely large ones.
2 Converting Small Indicators to Large Indicators
For an extremely small indicator, taking its reciprocal converts it into an extremely large indicator.
Alternatively, a translation transformation can be applied.
Other monotonicity‑preserving transformations are also possible.
3 Converting Centered Indicators to Large Indicators
For a centered indicator, apply a translation and scaling to shift it into an extremely large indicator.
4 Converting Interval Indicators to Large Indicators
For an interval indicator, values within the optimal interval are best; the farther the value from the interval, the worse. By appropriate translation, the interval indicator can be transformed into an extremely large indicator.
5 Summary
This article presented three methods for converting small, centered, and interval indicators into extremely large indicators for metric standardization.
References
ThomsonRen https://github.com/ThomsonRen/mathmodels
司守奎,孙玺菁 Python数学实验与建模
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