One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two conflicting objectives (i.e., accuracy maximization and complexity minimization) when we design accurate and compact fuzzy rule-based systems from numerical data. Since the main advantage of fuzzy rule-based systems co...

This essay introduces a new featured section, to be published in Small Axe annually, that explores the critical vocabulary of field Caribbean studies.

In this paper, we propose a spectral clustering approach for users and documents group modeling in order to capture the common preference and relatedness of users and documents, and to reduce the time complexity of similarity calculations. In experiments, we investigate the selection of the optimal amount of clusters. We also show a reduction of the time consuming in calculating the similarity ...

This study examines the relationship between time discounting, other sources of time preference, and choices about smoking. Using a survey fielded for our analysis, we elicit rates of time discount from choices in financial and health domains. We also examine the relationship between other determinants of time preference and smoking status. We find very high rates of time discount in the financ...