
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.
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Taxonomy
TopicsService-Oriented Architecture and Web Services · Multi-Criteria Decision Making · Business Process Modeling and Analysis
