Classification of Unseen Examples under Uncertainty
Jerzy W. Grzymala‐Busse · Fundamenta Informaticae · 1997
Very frequently machine learning from real-life data is affected by uncertainty. There are three main reasons for imperfection in data: incompleteness, imprecision (also called vagueness), and errors. In this paper the main emphasis is on classificat