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Fuzzy cognitive maps: approaches to construction and analysis Cover

Fuzzy cognitive maps: approaches to construction and analysis

International Journal on Smart Sensing and Intelligent Systems
Volume 19 (2026): Issue 1 (January 2026)
By: Tatyana A. Makarenya,  Ali Sajae Mannaa,  Alexey I. Kalinichenko and  Svetlana V. Petrenko  
Open Access
|Mar 2026
Figures & tables

Figures & Tables

Figure 1:

General representation of FCMs [19]. FCMs, fuzzy cognitive maps.

Figure 2:

Example of fuzzy-oriented graph [19].

Figure 3:

FCM construction using LK IF analysis [19]. FCM, fuzzy cognitive map; LK IF, Liang-Kleeman information flow.

Figure 4:

FCM model for automotive industry research is described by seven neural concepts [19]. FCM, fuzzy cognitive map.

Figure 5:

The process of 20 steps of FCM simulation on the example of the “automotive industry” for 100 randomly generated initial activation vectors [19]. FCM, fuzzy cognitive map.

Figure 6:

Diagram of the proposed PSO b IFS-based FTS forecasting method [19]. IFS, intuitionistic fuzzy set; PSO, particle swarm optimization.

Figure 7:

Aggregated cognitive maps for perceptions of livestock intensification on farms of three types of resource endowment in Palpa (A) and Dadeldhura (B) districts of Nepal [15].
DOI: https://doi.org/10.2478/ijssis-2025-0055 | Journal eISSN: 1178-5608
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Language: English
Submitted on: Mar 18, 2024
Published on: Mar 15, 2026
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Fuzzy cognitive maps,
weakly structured systems,
analyses,
construction approaches
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2026 Tatyana A. Makarenya, Ali Sajae Mannaa, Alexey I. Kalinichenko, Svetlana V. Petrenko, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 19 (2026): Issue 1 (January 2026)
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