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This research aims to develop a methodological process for constructing Fuzzy Cognitive Maps using Artificial Intelligence.

June 21, 2026Open Access

Construction of Fuzzy Cognitive Maps assisted by Artificial Intelligence (LLM): methodological process and financial use case

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Randomized trial demonstrates enhanced Fuzzy Cognitive Map construction using AI, suggesting improved scalability for financial analysis.

This research aims to develop a methodological process for constructing Fuzzy Cognitive Maps using Artificial Intelligence.
Constructed FCM through three phases: concept elicitation, interactive correction, and generation/export.
Utilized structured prompts to gather concepts from multiple AI models.
Applied a real use case involving macroeconomic and risk factors influencing financial assets.
Successfully created Fuzzy Cognitive Maps using AI, enhancing scalability in construction and analysis.
Facilitated exporting of maps in GraphViz (.gv) and Gephi (.gdf) formats for diverse analyses.
Documented advantages such as reduced expert time and future expansion opportunities.

Fco Fernando De la Rosa Troyano (2026) studied this question.

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