Fuzzy Hierarchical Multiplex

TL;DR

This paper introduces a fuzzy hierarchical multiplex framework that extends FCM causality, providing a theoretical basis for analyzing logical implications and hierarchy in data, aimed at optimizing information transmission in service processes.

Contribution

It presents a novel fuzzy optimization framework extending FCM causality with a focus on logical hierarchy and multiplex structures, primarily through theoretical analysis.

Findings

Framework effectively maps data into metrics

Analyzes logical implications and hierarchies

Provides a basis for service process optimization

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.