Evidence map›Paper›PMID 36262149›Full record

ArticlePeerJ. Computer science2022

FCMpy: a python module for constructing and analyzing fuzzy cognitive maps.

Samvel Mkhitaryan, Philippe Giabbanelli, Maciej K Wozniak, Gonzalo Nápoles, Nanne De Vries, Rik Crutzen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ. Computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Samvel MkhitaryanHealth Promotion, Maastricht University, Maastricht, Netherlands.
Philippe GiabbanelliComputer Science & Software Engineering, Miami University of Ohio, Oxford, Ohio, United States.
Maciej K WozniakDivision of Robotics, Perception and Learning, KTH Royal Institute of Technology, Stockholm, Sweden.
Gonzalo NápolesCognitive Sciences and Artificial Intelligence, Tilburg University, Tilburg, Netherlands.
Nanne De VriesHealth Promotion, Maastricht University, Maastricht, Netherlands.
Rik CrutzenHealth Promotion, Maastricht University, Maastricht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FCMpy is an open-source Python module for building and analyzing Fuzzy Cognitive Maps (FCMs). The module provides tools for end-to-end projects involving FCMs. It is able to derive fuzzy causal weights from qualitative data or simulating the system behavior. Additionally, it includes machine learning algorithms (

Indexed as

Active Hebbian learningFCMGenetic algorithmNonlinear Hebbian learningPython

Identifiers

PMID36262149
PMCPMC9575875

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.