Source: wikibot/tversky-index
= Tversky index
{wiki=Tversky_index}
The Tversky index is a measure of similarity between two sets. It is named after the psychologist Amos Tversky, who, along with Daniel Kahneman, contributed to the study of decision-making and cognitive biases. The index is particularly useful in various fields such as psychology, information retrieval, and machine learning.