Evidence map›Paper›PMID 35250173›Full record

ArticleApplied intelligence (Dordrecht, Netherlands)2022

New method for emergency decision making with an integrated regret theory-EDAS method in 2-tuple spherical linguistic environment.

Lin Huang, Ling-Xiang Mao, Yao Chen, Hu-Chen Liu

Open access · bronzeAbstract read
In one paragraph

Article in Applied intelligence (Dordrecht, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 3 institutions in 1 country.

Lin HuangSchool of Management, Shanghai University, Shanghai, 200444 PR China.
Ling-Xiang MaoSchool of Management, Shanghai University, Shanghai, 200444 PR China.
Yao ChenShanghai No.3 Rehabilitation Hospital, 100 Jiao Cheng Road, 200436 Shanghai, PR China.
Hu-Chen LiuSchool of Materials Science and Engineering, Shanghai Dianji University, Shanghai, 201306 PR China.ORCID 0000-0003-4566-2107
Shanghai University · CNShanghai Chengtou (China) · CNShanghai Dianji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the frequent occurrence of various emergency events, emergency decision making (EDM) has become an important research focus recently and many studies have been conducted to decrease the negative impact of emergencies. Normally, it is essential for decision makers to make satisfactory and reasonable emergency decisions in the shortest possible time as inappropriate decisions may result in enormous economic losses and serious social consequences. To ensure that an emergency response can be made efficiently, we propose a new EDM method by integrating regret theory and evaluation based on distance from average solution (EDAS) method within the 2-tuple spherical linguistic environment. First, the 2-tuple spherical linguistic term sets (TSLTSs) are employed by decision makers to express their uncertain and vague evaluation information on emergency alternatives. Then, an integrated EDM method based on regret theory and EDAS method is proposed to rank emergency alternatives and find out the optimal one. Besides, the criteria importance through inter-criteria correlation (CRITIC) method is used to determine criteria weights objectively in the EDM process. Finally, the proposed regret theory-EDAS method is applied to select the optimal response solution for a public health emergency in China. The superiority and practicality of the designed method are further justified through a comparative analysis with other EDM methods.

Indexed as

2-Tuple spherical linguistic term setCRITIC methodEDAS methodEmergency decision making

Identifiers

PMID35250173
PMCPMC8881761
OpenAlexW4214579779

What OpenQuestion holds

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Read underepoch 390

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.