In catalysis, the performance of a catalyst is influenced by various factors such as activity, selectivity, stability, and cost. Traditional ordinal rankings often fail to provide a comprehensive picture of these multi-faceted properties. Non-ordinal representation allows for a more nuanced analysis, facilitating the identification of catalysts that may not be the top in a single ranking but excel in specific desirable traits. This approach can lead to more informed decisions in catalyst selection and optimization.
