Interval-Valued Methods in Classifications and Decisions

This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making processes under incomplete or imprecise information. It then discusses new methods for aggregation on interval-valued settings, and the most common properties of interval-valued aggregation operators.