How Interval and Fuzzy Techniques Can Improve Teaching Processing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches /

• Main Authors: Kosheleva, Olga (Author, http://id.loc.gov/vocabulary/relators/aut), Villaverde, Karen (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Computational Intelligence, 750
• Subjects: Computational intelligence.; Information technology.; Business-Data processing.; E-commerce.; Computational Intelligence.; IT in Business.; e-Commerce/e-business.

This book explains how to teach better and presents the latest research on processing educational data and presents traditional statistical techniques as well as probabilistic, interval, and fuzzy approaches. Teaching is a very rewarding activity; it is also a very difficult one - because it is larg...