In-Cognitive: A web-based Python']Python application for fuzzy cognitive map design, simulation, and uncertainty analysis based on the Monte Carlo method

被引：2

作者：

Koutsellis, Themistoklis ^{[1
]}

Xexakis, Georgios ^{[2
]}

Koasidis, Konstantinos ^{[1
]}

Frilingou, Natasha ^{[1
]}

Karamaneas, Anastasios ^{[1
]}

Nikas, Alexandros ^{[1
]}

Doukas, Haris ^{[1
]}

机构：

[1] Natl Tech Univ Athens, Sch Elect & Comp Engn, Decis Support Syst Lab, Iroon Politech 9, Athens 15780, Greece

[2] HOLISTIC PC, Mesoge Ave 507, Athens 13, Greece

来源：

SOFTWAREX | 2023年 / 23卷

基金：

欧盟地平线“2020”;

关键词：

Fuzzy cognitive map; Web application; Uncertainty propagation; Monte Carlo approach;

D O I：

10.1016/j.softx.2023.101513

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Fuzzy Cognitive Mapping is a semi-quantitative modelling method, widely used for decision support in various domains. However, existing software applications have been criticised over inadequate handling of uncertain information, lack of accessibility, and inability to converge to solutions for all modelled systems. Here we present In-Cognitive, an open-source, web-based application for the creation, visualisation, and simulation of Fuzzy Cognitive Maps, ensuring solution convergence and allowing for Monte Carlo uncertainty analysis. The application is built in Python and Bokeh and provides an accessible and user-friendly interface to model various systems quickly and reliably and evaluate the robustness of the modelling solutions.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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