Interval-Valued Methods in Classifications and Decisions

Download or read book Interval-Valued Methods in Classifications and Decisions written by Urszula Bentkowska and published by Springer. This book was released on 2019-02-08 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. At first, it introduces interval-valued fuzzy sets. It then discusses new methods for aggregation on interval-valued settings, and the most common properties of interval-valued aggregation operators. It then presents applications such as decision making using interval-valued aggregation, and classification in case of missing values. Interesting applications of the developed algorithms to DNA microarray analysis and in medical decision support systems are shown. The book is intended not only as a timely report for the community working on fuzzy sets and their extensions but also for researchers and practitioners dealing with the problems of uncertain or imperfect information.