Evidence map›Paper›PMID 35094278›Full record

ArticleEnvironmental science and pollution research international2022

Designing a fuzzy decision support framework for assessing solid waste management in the South European region.

Dragan Pamučar, Moein Behzad, Darko Božanić, Masoud Behzad

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Dragan PamučarDepartment of Logistics, Military academy, University of Defence, Belgrade, Serbia.
Moein BehzadDepartment of Social Planning, Faculty of Social Sciences, University of Allameh Tabataba'i, Tehran, Iran.
Darko BožanićMilitary Academy, University of Defence, Belgrade, Serbia.
Masoud BehzadSchool of Industrial Engineering, Faculty of Engineering, Universidad de Valparaíso, Valparaíso, Chile. masoud.behzad@uv.cl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The environmental planning of cities and rural regions is associated with monitoring the performance of several services, including solid waste management. This study proposes a new framework for the comparative assessment of the performance of integrated municipal solid waste management. The framework includes the fuzzy MACBETH multi-criteria decision-making model used to investigate the uncertainties and inefficiencies associated with solid waste management systems. The model consists of all major stages in solid waste management and its environmental impact. The applicability of the model was examined in the South European region. According to the global fuzzy values of the criteria weights, the most influential reported criteria were GHG emission (0.113,0.157,0.202), the waste generation growth rate (0.034,0.063,0.141), and waste generation (0.034,0.054,0.127). The other results indicated that Italy (47.26) and France (42.67) had shown a better performance, only to be followed by Spain (37.68), whereas Greece (15.77) and Portugal (12.85) had received the lowest score. In the context of promoting the circular economy in Europe, having a higher recycling rate and less landfilling is beneficial for Greece and Portugal. In addition to this, all these countries should make efforts on decoupling the waste generation-GDP correlation. Furthermore, the applicability of the model depends on an appropriate scale and criteria. The model can be replicated to other developed societies with a few modifications. However, it is necessary to modify the criteria for assessing developing societies based on local conditions.

Indexed as

Refuse DisposalWaste ManagementCitiesRecyclingSolid WasteSolid WasteFuzzy modelIncinerationLandfillingMulti-criteria analysisSensitivity analysisSolid waste managementWaste generationWaste treatment

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.