A set of one million random matrices that are the inputs of group decision-making in the AIP approach for the AHP method

The set of files contains a matrix of weights, where each vector is a set of weights (ratings) from one expert. In each case, there are exactly as many experts as evaluated alternatives, hence each matrix is a square matrix. The dataset is composed of records containing the following fields: id - stands for number of record, W - forms a n \times n matrix, and ei - is a column of a matrix containing weights comming from i-th expert. There are ten files in the dataset having names in the form: k2_data_100000_matrixSize_XX.json where XX stands for both the number of experts and alternatives.