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

Title:
FCMpy : a python module for constructing and analyzing fuzzy cognitive maps
Publisher Information:
KTH, Robotik, perception och lärande, RPL Maastricht Univ, Hlth Promot, Maastricht, Netherlands. Miami Univ Ohio, Comp Sci & Software Engn, Oxford, OH USA. Tilburg Univ, Cognit Sci & Artificial Intelligence, Tilburg, Netherlands. Maastricht Univ, Hlth Promot, Maastricht, Netherlands. Maastricht Univ, Hlth Promot, Maastricht, Netherlands. PeerJ 2022
Document Type:
E-Ressource Electronic Resource
DOI:
10.7717.peerj-cs.1078
Availability:
Open access content. Open access content
info:eu-repo/semantics/restrictedAccess
Note:
English
Other Numbers:
UPE oai:DiVA.org:kth-320513
doi:10.7717/peerj-cs.1078
PMID 36262149
ISI:000862818300001
Scopus 2-s2.0-85140603443
1372249539
Contributing Source:
UPPSALA UNIV LIBR
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1372249539
Database:
OAIster

Weitere Informationen

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 (e.g., Nonlinear Hebbian Learning, Active Hebbian Learning, Genetic Algorithms, and Deterministic Learning) to adjust the FCM causal weight matrix and to solve classification problems. Finally, users can easily implement scenario analysis by simulating hypothetical interventions (i.e., analyzing what-if scenarios). FCMpy is the first open-source module that contains all the functionalities necessary for FCM oriented projects. This work aims to enable researchers from different areas, such as psychology, cognitive science, or engineering, to easily and efficiently develop and test their FCM models without the need for extensive programming knowledge.
QC 20221024