Similarity, correlation and association measures play an important role in statistics,
information retrieval, data mining and data science, classification and machine learning …

Green food is well-known for its health benefits, environmental-friendliness, and safety.
Current recommender systems used by e-commerce websites usually recommend products …

Correlation coefficients (association measures) were introduced more than one hundred
years ago as measures of relationship between variables that usually belong to one of the …

Many papers on fuzzy risk analysis calculate the similarity between fuzzy numbers. Usually,
they use symmetric and reflexive similarity measures between parameters of fuzzy sets or …

We propose a method of calculating the correlation between frequency distributions defined
on a finite set of categories. The method is based on the general approach to constructing …

A bipolar rating scale is a linearly ordered set with symmetry between elements considered
as negative and positive categories. First, we present a survey of bipolar rating scales used …

Negation of probability distributions (PD) was initially introduced by Yager as a
transformation of probability distributions representing linguistic terms like High Price, into …

Many similarity, distance, association, and correlation measures for binary data, 2x2 tables,
and sets are used in ecology, biology, and social sciences in pattern recognition, machine …

The lecture presents a new, non-statistical approach to the analysis and construction of
similarity, dissimilarity and correlation measures. The measures are considered as functions …

The paper presents the method of measuring the similarity and difference in the frequency
distributions of one categorical variable for different levels of another variable. This method …