Exact and efficient construction of Minkowski sums of convex polyhedra with applications
Computer-Aided Design
Collaborative filtering based on iterative principal component analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A model for multi-label classification and ranking of learning objects
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
The paper presents new methods of alternatives ranking using expert estimations and measured data. The methods use expert estimations of objects quality and criteria weights. This expert estimations are changed during the computation. The expert estimation are supposed to be measured in linear and ordinal scales. Each object is described by the set of linear, ordinal or nominal criteria. The constructed object estimations must not contradict both the measured criteria and the expert estimations. The paper presents methods of expert estimations concordance. The expert can correct result of this concordance.