Study of Uncertainty and Inaccuracies of the Income for Inequality Paradox through Fuzzy Logic for Sustainable Development

Abstract

The sustainable goal can also be the global goal of preserving nature and green resources and taking precautionary measures to safeguard the planet and its prosperity. Green technology depicts, as the name signifies, eco-friendly, energy-efficient, and reusable safety concerns. Fundamentally, renewable resources are to be reiterative and available to retain nature's natural core of existence. The proposed study is destined to discuss one of the sustainable goals defined in 2015 by the United Nations: reduced inequality (SDG: Goal 10). The study is inclined to find uncertainty and a degree of inaccuracy in the inequality paradox with respect to differences in earnings between male and female workers based on their educational attainment in EU countries. The indicators of statistics are observed and monitor variations of below-upper secondary education, upper secondary and post-non-territory education, and, very importantly, the overall income with respect to all levels of education, which can alert policymakers to impending problems. On the other hand, quantify the impact of the difference in earnings between male and female workers and encourage an education system to improve by comparing it, or parts of it, with other countries or systems.Inequality defines the occurrence of an unequal administration of resources and opportunities among the members of the given clusters. There are different dimensions of the inequality paradox, such as wage inequality, homelessness, racial gaps in education, child poverty, residential separation, and health insurance. There is a need to quantify the degree of each entity, and every real-world data set has a degree of randomness that cascades to uncertainty and is technically called "statistical uncertainty". In other words, estimating the uncertainty is another dimension of measuring the entity itself. While measuring, there is also risk embedded; hence, we do not have an appropriate probability model, and fuzzy logic took its existence to serve the purpose. Fuzzy logic is a modus operandi in accordance with convolutional and imprecise systems. By applying the principles of fuzzy logic, arithmetic, and substandard data can be studied in an instinctive and viable manner. With the support of fuzzy logic, the uncertainty of the data can be measured meticulously by measuring the possibilities. This article facilitates quantifying the degree of inaccuracy and uncertainty of the income paradox from the primary data, which has been derived from the Organization for Economic Cooperation and Development Statistics, and the main data repository, "Differences in earnings between female and male workers, by educational attainment" for respective countries for the reference year 2020.