Evidence map›Paper›PMID 40567715›Full record

ArticlePeerJ. Computer science2025

Hybrid decision support system disaster management: application of lattice ordered q-rung linear Diophantine fuzzy hypersoft sets.

J Vimala, A N Surya, Nasreen Kausar, Dragan Pamucar, Seifedine Kadry, Jungeun Kim

Abstract read
In one paragraph

Article in PeerJ. Computer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

J VimalaDepartment of Mathematics, Alagappa University, Karaikudi, Tamilnadu, India.
A N SuryaDepartment of Mathematics, Alagappa University, Karaikudi, Tamilnadu, India.ORCID 0009-0004-4916-5460
Nasreen KausarDepartment of Mathematics, Faculty of Arts and Science, Balikesir University, Balikesir, Turkey.
Dragan PamucarDepartment of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia.ORCID 0000-0001-8522-1942
Seifedine KadryDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
Jungeun KimDepartment of Computer Engineering, Inha University, Incheon, Republic of South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of the lattice-ordered q-rung linear Diophantine fuzzy hypersoft set is a significant extension of fuzzy set theory. This study describes many of its fundamental algebraic operations, such as restricted union, extended union, restricted intersection, OR operation, and AND operation, along with examples. Further, an algorithm based on the proposed operations is presented in this study to handle multi-attributed decision-making problems extremely well, along with an illustrative multi-attribute decision-making example in the area of disaster management, which helps in choosing the most appropriate plan to tackle the known natural disaster by considering a greater number of attributes together. Further, the contribution of the method in the disaster management field is presented in the comparative analysis along with computational efficiency and scalability and an analysis of the comparison between the existing decision-making methods and the proposed one to express the superiority and advantages of the suggested approach over the existing methods.

Indexed as

Hypersoft setLatticeMulti-attribute decision makingq-Rung linear diophantine fuzzy set

Identifiers

PMID40567715
PMCPMC12193505

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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.