With the increasing enrollment of higher education in China, teaching quality evaluation is
an urgent problem to be studied. Colleges and universities should also have their own set of …

Label Ranking (LR) is an emerging non-standard supervised classification problem with
practical applications in different research fields. The Label Ranking task aims at building …

Existing ordinal trees and random forests typically use scores that are assigned to the
ordered categories, which implies that a higher scale level is used. Versions of ordinal trees …

Within the framework of preference rankings, the interest can lie in finding which predictors
and which interactions are able to explain the observed preference structures, because …

The rank aggregation problem can be summarized as the problem of aggregating individual
preferences expressed by a set of judges to obtain a ranking that represents the best …

Life satisfaction is one of the key indicators of subjective well-being. This paper aims to give
a methodological contribution to the study of the factors influencing life satisfaction by …

This paper proposes a prediction model of piano collective class teaching and learning
effect based on DL network in order to realise the precise prediction and evaluation of piano …

The last years have seen a remarkable flowering of works about the use of decision trees for
ranking data. As a matter of fact, decision trees are useful and intuitive, but they are very …

Preference data represent a particular type of ranking data (widely used in sports, web
search, social sciences), where a group of people gives their preferences over a set of …

For the fuzziness and uncertainty of performance evaluation of English Language teaching,
crisp number is not suitable to express the fuzzy nature of evaluation attributes. Linguistic …