Evidence map›Paper›PMID 34899106›Full record

ArticleApplied soft computing2022

An efficiency-based interval type-2 fuzzy multi-criteria group decision making for makeshift hospital selection.

Ze-Hui Chen, Shu-Ping Wan, Jiu-Ying Dong

Abstract read
In one paragraph

Article in Applied soft computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

  1. Article
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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

3 authors.

Ze-Hui ChenSchool of Information Management, Jiangxi University of Finance and Economics, Nanchang 330013, China.
Shu-Ping WanSchool of Information Management, Jiangxi University of Finance and Economics, Nanchang 330013, China.
Jiu-Ying DongSchool of Statistics, Jiangxi University of Finance and Economics, Nanchang 330013, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since makeshift hospitals have strong ability in blocking the spread of the virus, how to design some methods to select the reasonable sites of makeshift hospitals is vitally important for containing COVID-19. This paper investigates an efficiency-based multi-criteria group decision making (MCGDM) method by combining the best-worst method (BWM) and data envelopment analysis (DEA) in trapezoidal interval type-2 fuzzy (TrIT2F) environment. This MCGDM method is called

Indexed as

Best-worst methodCOVID-19Data envelopment analysisInterval type-2 fuzzy setsMakeshift hospital selection

Identifiers

PMID34899106
PMCPMC8641977

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.