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Narantuya Erkhembaatar

Abstract

When designing a data analysis using information entropy, metrics derived from this method must be observed, evaluated, and utilized. Information entropy, which reflects the level of uncertainty in a random variable, can be applied to a range of fields, including information and communication technology (ICT). The methodology proposed aims to assign weights to the indicators within the ICT development index and sub-indexes, enabling their global, regional, and country-wise ranking. To test the effectiveness of this methodology, we examined its potential applications for evaluating indexes. Our model integrates a novel approach that combines the entropy weight coefficient method, bootstrap method, correlation coefficient weighting method, and S-shaped diffusion stages of ICT. We present the evaluation results of the integrated calculating method.

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Keywords

ICT indicators, entropy, entropy weight

References
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Citation Format
How to Cite
Erkhembaatar, N. (2023). Evaluation of Indicators for ICT Development Index using an Integrated Entropy Weighting Method. ICT Focus, 2(1), 1–13. https://doi.org/10.58873/sict.v2i1.43
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