A Study on the Evaluation of the ICT Development Indexes and Some Results

Abstract

The ICT Development Index (IDI) functions as an established tool for assessing the digital divide and facilitating comparisons of lCT performance within and between countries. Information entropy, representing the level of uncertainty in a random variable, can be applied across various fields, including information and communication technology (LCT), When designing data analysis using information entropy, it is essential to observe, evaluate, and utilize metrics derived from this method. The proposed methodology aims to allocate weights to the indicators within the ICT Development Index for country ranking. To assess the efficacy of this methodology, we explored its potential applications in evaluating indexes. Our model incorporates an innovative approach that combines the entropy weight coefficient method with the correlation coefficient weighting method. We present the evaluation results of the integrated calculation method in Mongolia.