Open AccessBayesian approach to evaluation of distance courses
Author(s) -
Jonas Mockus,
Irina Vinogradova
Publication year - 2014
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.b.2014.17
Subject(s) - computer science , bayesian probability , expert opinion , bayesian statistics , machine learning , fuzzy logic , quality (philosophy) , artificial intelligence , prior probability , data mining , bayesian inference , medicine , intensive care medicine , philosophy , epistemology
Many real applications are using uncertain data This include expert decisions based on their subjective opinions, The uncertainty can be evaluated applying fuzzy sets theory or the methods of mathematical statistics. In this paper it is proposed to use the Bayesian approach by different distribution functions defining the expert opinion and some prior information. The results are illustrated evaluating the quality of distant education courses.