Evidence map›Paper›PMID 37353615›Full record

ArticleScientific reports2023

An innovative probabilistic hesitant fuzzy set MCDM perspective for selecting flexible packaging bags after the prohibition on single-use plastics.

Jeonghwan Jeon, Suvitha Krishnan, Thangaraj Manirathinam, Samayan Narayanamoorthy, Mohammad Nazir Ahmad, Massimiliano Ferrara, Ali Ahmadian

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 26 citations in OpenAlex.

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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

7 authors at 5 institutions in 7 countries.

Jeonghwan JeonDepartment of Industrial and Systems Engineering, Gyeongsang National University, Jinju-si, Gyeongsangnam-do, South Korea.
Suvitha KrishnanDepartment of Mathematics, Bharathiar University, Coimbatore, 641 046, India.
Thangaraj ManirathinamDepartment of Mathematics, Bharathiar University, Coimbatore, 641 046, India.
Samayan NarayanamoorthyDepartment of Mathematics, Bharathiar University, Coimbatore, 641 046, India.
Mohammad Nazir AhmadInstitute of Visual Informatics, Universiti Kebangsaan Malaysia (UKM), 43600, Bangi, Selangor, Malaysia.
Massimiliano FerraraDepartment of Law, Economics and Human Sciences, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy. massimiliano.ferrara@unirc.it.
Ali AhmadianSchool of Engineering and Technology, College of Engineering and Aviation, Central Queensland University, Rockhampton, Australia. ahmadian.hosseini@gmail.com.
Bharathiar University · INGyeongsang National University · KRLebanese American University · LBNational University of Malaysia · MYUniversity of Reggio Calabria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The probabilistic hesitant elements (PHFEs) are a beneficial augmentation to the hesitant fuzzy element (HFE), which is intended to give decision-makers more flexibility in expressing their biases while using hesitant fuzzy information. To extrapolate a more accurate interpretation of the decision documentation, it is sufficient to standardize the organization of the elements in PHFEs without introducing fictional elements. Several processes for unifying and arranging components in PHFEs have been proposed so far, but most of them result in various disadvantages that are critically explored in this paper. The primary objective of this research is to recommend a PHFE unification procedure that avoids the deficiencies of operational practices while maintaining the inherent properties of PHFE probabilities. The prevailing study advances the hypothesis of permutation on PHFEs by suggesting a new sort of PHFS division and subtraction compared with the existing unification procedure. Eventually, the proposed PHFE-unification process will be used in this study, an innovative PHFEs based on the Weighted Aggregated Sum Product Assessment Method-Analytic Hierarchy Process (WASPAS-AHP) perspective for selecting flexible packaging bags after the prohibition on single-use plastics. As a result, we have included the PHFEs-WASPAS in our selection of the most effective fuzzy environment for bio-plastic bags. The ranking results for the suggested PHFEs-MCDM techniques surpassed the existing AHP methods in the research study by providing the best solution. Our solutions offer the best bio-plastic bag alternative strategy for mitigating environmental impacts.

Indexed as

Product PackagingAlgorithmsFuzzy LogicProbability

Identifiers

PMID37353615
PMCPMC10290120
OpenAlexW4381800581

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.