{"title":"FCM-VSS：一个人工智能驱动的安全模糊认知地图管理工具包，用于可视化，模拟和总结","authors":"Vartul Shrivastava , Shekhar Shukla","doi":"10.1016/j.softx.2025.102058","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 102058"},"PeriodicalIF":2.4000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FCM-VSS: An AI powered secured fuzzy cognitive maps management toolkit for visualization, simulation and summarization\",\"authors\":\"Vartul Shrivastava , Shekhar Shukla\",\"doi\":\"10.1016/j.softx.2025.102058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"29 \",\"pages\":\"Article 102058\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711025000251\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025000251","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/21 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
FCM-VSS: An AI powered secured fuzzy cognitive maps management toolkit for visualization, simulation and summarization
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.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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