2.4. Improved Entropy Weight Method

Hongpeng Guo; Jia Chen; Chulin Pan

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2.4. Improved Entropy Weight Method

HG Hongpeng Guo

JC Jia Chen

CP Chulin Pan

This method is extracted from research article: Int J Environ Res Public Health, Apr 2021

Assessment on Agricultural Drought Vulnerability and Spatial Heterogeneity Study in China

DOI: 10.3390/ijerph18094449

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There are two methods to determine the weight: subjective weight method and objective weight method. This paper chooses the entropy weighting method (one of the objective weighting methods) for indicator weighting, which overcomes the subjective arbitrariness of the subjective weighting method and makes the weighting more scientific. The improved entropy weighting method has the following methods and steps [60,61]:

Build the matrix $Y_{θ i j}$ :

Calculate indicator information entropy $e_{j}$ :

Find indicator difference coefficient (redundancy) $g_{j}$ :

The weight of each indicator $w_{j}$ :

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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