Selection of healthcare waste management treatment using fuzzy rough numbers and Aczel-Alsina Function.

Dragan Pamučar, Adis Puška, Vladimir Simić, Ilija Stojanović, Muhammet Deveci

Abstract read

In one paragraph

Article in Engineering applications of artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in

2citing papers in PubMed

–field-weighted citation impact

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.

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dragan PamučarDepartment of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, 11000, Belgrade, Serbia.

Adis PuškaGovernment of Brčko District, Department of Public Safety, Bosnia and Herzegovina.

Vladimir SimićUniversity of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia.

Ilija StojanovićAmerican University in the Emirates, Dubai International Academic City, Block 6 & 7, P.O. Box: 503000, United Arab Emirates.

Muhammet DeveciTurkish Naval Academy, National Defence University, Department of Industrial Engineering, 34940, Tuzla, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic led to an increase in healthcare waste (HCW). HCW management treatment needs to be re-taken into focus to deal with this challenge. In practice, there are several treatments of HCW with their advantages and disadvantages. This study is conducted to select the appropriate treatment for HCW in the Brčko District of Bosnia and Herzegovina. Six HCW management treatments are analyzed and observed through twelve criteria. Ten-level linguistic values were used to bring this evaluation closer to human thinking. A fuzzy rough approach is used to solve the problem of inaccuracy in determining these values. The OPA method from the Bonferroni operator is used to determine the weights of the criteria. The results of the application of this method showed that the criterion Environmental Impact (

Indexed as

Aczel-Alsina functionBonferroni functionFuzzy rough numbersHealthcare wasteTreatment selection

Identifiers

PMID36908983

DOI10.1016/j.engappai.2023.106025

PMCPMC9985309

What OpenQuestion holds

Textmetadata

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Registered trials

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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.