{"ID":2830828,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.09976","arxiv_id":"2512.09976","title":"Fuzzy Hierarchical Multiplex","abstract":"A new fuzzy optimization framework that extends FCM causality is proposed. This model utilizes the dynamics to map data into metrics and create a framework that examines logical implication and hierarchy of concepts using a multiplex. Moreover, this is a white-theoretical paper introducing the framework and analyzing the logic and math behind it. Upon this extension the main objectives and the orientation of this framework is expounded and exemplified; this framework is meant for service optimization of information transmission in service process design. Lastly, a thorough analysis of the FHM is included which is done following the logical steps in a simple and elegant manner.","short_abstract":"A new fuzzy optimization framework that extends FCM causality is proposed. This model utilizes the dynamics to map data into metrics and create a framework that examines logical implication and hierarchy of concepts using a multiplex. Moreover, this is a white-theoretical paper introducing the framework and analyzing t...","url_abs":"https://arxiv.org/abs/2512.09976","url_pdf":"https://arxiv.org/pdf/2512.09976v1","authors":"[\"Alexis Kafantaris\"]","published":"2025-12-10T17:59:07Z","proceeding":"cs.AI","tasks":"[\"cs.AI\",\"cs.LG\",\"eess.SY\"]","methods":"[\"Generative Adversarial Network\"]","has_code":false}