Remote sensing scene classification aims to assign a specific semantic label remote image. Recently, convolutional neural networks have greatly improved the performance of classification. However, some confused images may be easily recognized as incorrect category, which generally degrade performance. The differences between image pairs can used distinguish categories. This letter proposed pair...

Pairwise comparisons can be used to equate two sets of educational performances. In this article, a simple method for the joint scaling or more assessment performances is described and illustrated. This applicable where scale student abilities has already been formed, extended include additional It requires subset scaled performances, which designated as core linking set purpose extension. The ...

Interval Pairwise Comparison Matrices have been widely used to account for uncertain statements concerning the preferences of decision makers. Several approaches have been proposed in the literature, such as multiplicative and fuzzy interval matrices. In this paper, we propose a general unified approach to Interval Pairwise Comparison Matrices, based on Abelian linearly ordered groups. In this ...

Pairwise comparison matrix as a crucial component of AHP, presents the preference relations among alternatives. However, in many cases, the pairwise comparison matrix is difficult to complete, which obstructs the subsequent operations of the classical AHP. In this paper, based on DEMATEL which has ability to derive the total relation matrix from direct relation matrix, a new completion method f...

Object ranking is a problem that involves ordering given objects by aggregating pairwise comparison data collected from one or more evaluators; however, the cost of object evaluations is high in some applications. In this paper, we propose an efficient data collection method called progressive comparison, whose objective is to collect many pairwise comparison data while reducing the number of e...