Evidence map›Paper›PMID 39668864›Full record

ArticleHeliyon2024

Addressing a decision problem through a bipolar Pythagorean fuzzy approach: A novel methodology applied to digital marketing.

Vishalakshi Kuppusamy, Maragathavalli Shanmugasundaram, Prasantha Bharathi Dhandapani, Carlos Martin-Barreiro, Xavier Cabezas, Víctor Leiva, Cecilia Castro

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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

7 authors.

Vishalakshi KuppusamyDepartment of Mathematics, Government Arts College, Udumalpet, Tamil Nadu, India.
Maragathavalli ShanmugasundaramDepartment of Mathematics, Government Arts College, Udumalpet, Tamil Nadu, India.
Prasantha Bharathi DhandapaniDepartment of Mathematics, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.
Carlos Martin-BarreiroFacultad de Ciencias Naturales y Matemáticas, ESPOL, Guayaquil, Ecuador.
Xavier CabezasFacultad de Ciencias Naturales y Matemáticas, ESPOL, Guayaquil, Ecuador.
Víctor LeivaEscuela de Ingeniería Industrial, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
Cecilia CastroCentre of Mathematics, Universidade do Minho, Braga, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decision-making in real-world scenarios faces uncertainty. Fuzzy theory has been a means to represent such uncertainty. In this study, we propose an approach that incorporates bipolarity into multi-criteria decision-making processes applied to digital marketing. The proposal considers both the positive and negative dimensions of data, leading to better-informed decisions. Our contribution integrates bipolarity into Pythagorean fuzzy matrices, a framework that broadens the utility of bipolar fuzzy theory. Through computational experimentation, we identify the most effective strategy for digital marketing platforms. When compared to existing techniques, our approach shows advantages, underlining its potential to improve decision-making in uncertain scenarios and offering insights for businesses that refine their digital marketing strategies.

Indexed as

Bipolar Pythagorean matricesCOPRAS, CRITIC, MAIRCA, MARCOS methodsFuzzy theoryOpen soft matricesScore function

Identifiers

PMID39668864
PMCPMC11637048

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.