Abstract The aim of this work is to compare EU countries in their efforts implement the circular economy model and indicate EU’s strategic objectives area, by analyzing indicators within member states. To achieve this, a qualitative quantitative analysis following THE EUROSTAT database has been carried out: total waste recycling rate, rate construction demolition waste, electronic contribution ...

sustainable coastal fishing management includes different components and factors. one of the practical initiatives to achieve sustainability is to evaluate or measure different criteria of sustainability and measuring sustainability of each system needs its own indicators. this study aimed to investigate different criteria of sustainable coastal fishing management in beach seine cooperatives (b...

in this paper, the energy demand of transport sector from 1385 to 1400 is forecasted based on fuzzy linear regression (flr) approach considering economic and social indicators. in order to analyze the influence of economic and social indicators on energy demand of transport sector, gross domestic product (gdp), population and the total number of vehicles in 1372-1384 were regarded. in this rese...

the development of multiple criteria decision making techniques is to provide the possibility of using multiple criteria in decision making problems. multi-criteria decision making problems primarily relate to choosing the best option among several available options and according to some indicators. one of the major issues in this regard is to determine the importance weights of decision criter...

Determining whether persons with multiple sclerosis (MS) receive appropriate, comprehensive healthcare requires tools for measuring quality. The objective of this study was to develop quality indicators for the care of persons with MS. We used a modified version of the RAND/UCLA Appropriateness Method in a two-stage process to identify relevant MS care domains and to assess the validity of indi...

We propose and analyze a novel Multi Index Monte Carlo (MIMC) method for weak approximation of stochastic models that are described in terms of differential equations either driven by random measures or with random coefficients. The MIMC method is both a stochastic version of the combination technique introduced by Zenger, Griebel and collaborators and an extension of the Multilevel Monte Carlo...

A recommendation of: Levallois Pierre, Leblanc-Maridor Mily, Scollo Annalisa, Ferrari Paolo, Belloc Catherine, Fourichon Christine Combining several indicators to assess the effectiveness of tailor-made health plans in pig farms https://doi.org/10.5281/zenodo.7789634