FCM-VSS: An AI powered secured fuzzy cognitive maps management toolkit for visualization, simulation and summarization

Abstract

In the prevailing technological paradigm, there exists various toolkits which researchers and practitioners can leverage to use Fuzzy Cognitive Maps (FCMs). However, a systematic management toolkit that encompasses security mechanisms, Kosko simulations, and what-if scenario analysis with AI-enabled inference remains scarce. To address this, we introduce FCM-VSS (Fuzzy Cognitive Maps – Visualizer, Simulator, and Summarizer), a robust web application that integrates Advanced Encryption Standard - Galois Counter Mode (AES-GCM) security, locally hosted Ollama-based AI agents for FCM summarization, and customizable Kosko inference mechanisms. This paper outlines FCM-VSS's architecture and web implementation, emphasizing on its potential as a secure, AI-powered FCM management tool.

Keywords

• FCM-VSS
• Fuzzy Cognitive Maps (FCMs)
• Advanced Encryption Standard with Galois Counter Mode (AES-GCM)
• AI-based summarization
• Kosko inference
• Sustainable metaverse characteristics evaluation-based illustration