Assessing key indicators of efficient green energy production for IEA members.

Environmental pollution, increased energy consumption, and growing demand for the energy sector have been widely discussed. Due to policymakers and different organizations impacting a lot of new regulations, tools have been implemented to use clean energy that has zero impact on the environment. The International Energy Agency (IEA) supports energy efficiency and evaluation by developing tracking indicators and analyzing energy consumption data.

Challenges to corporate social responsibility adoption for sustainability: A picture fuzzy approach.

Corporate social responsibility (CSR) has become crucial to businesses seeking to adopt sustainable development. However, there are several challenges to CSR adoption for sustainability that the present research aims to identify and evaluate, in addition to assessing the EU's response to these challenges. To this end, a novel picture fuzzy SWARA-TOPSIS method is proposed to rank EU countries after identifying the challenges that they face through a literature review.

A novel Pythagorean fuzzy-SWARA-TOPSIS framework for evaluating the EU progress towards sustainable energy development.

Energy Union aims to provide clean, secure, and affordable energy for many customers leading societies towards sustainable energy development. Several criteria were introduced in this vein to evaluate the twenty-third EU countries' progress towards energy union goals. The present study proposed and applied a SWARA-TOPSIS framework based on Pythagorean fuzzy sets to rank the EU members considering their sustainable energy development progress.

An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions.

The world has been challenged since late 2019 by COVID-19. Higher education institutions have faced various challenges in adapting online education to control the pandemic spread of COVID-19. The present study aims to conduct a survey study through the interview and scrutinizing the literature to find the key challenges.

A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak.

In recent years, Digital Technologies (DTs) are becoming an inseparable part of human lives. Thus, many scholars have conducted research to develop new tools and applications. Processing information, usually in the form of binary code, is the main task in DTs, which is happening through many devices, including computers, smartphones, robots, and applications.

A hybrid data envelopment analysis and game theory model for performance measurement in healthcare.

Performance measurement plays an important role in the successful design and reform of regional healthcare management systems. In this study, we propose a hybrid data envelopment analysis (DEA) and game theory model for measuring the performance and productivity in the healthcare centers. The input and output variables associated with the efficiency of the healthcare centers are identified by reviewing the relevant literature, and then used in conjunction with the internal organizational data.