The article introduces new ways to measure relationships between different attributes, like variables or categories. These new methods help to better understand how these attributes are connected, by taking into account indirect interactions. The researchers created different correlation measures for binary attributes (like yes/no) and interval value attributes (like numbers). They also provided a detailed algorithm and Matlab codes for these measures. This work allows users to analyze correlations between attributes more accurately and efficiently.