Hospital Resource Management Using Complex t-Fuzzy Graph

This paper addresses an concept of Complex -fuzzy Graphs (CTFGs) effectively utilized for realization and visualizing intricate collaborations thus may be challenging for grasp. This highlights how CTFGs can typically make complex relationships that involve multiple apparatuses or scopes under a certain context. The paper covers a fundamental set operations of CTFGs, while exploring concepts of homomorphism & isomorphism under this outline. In addition, this study presents a real-time solicitation of CTFGs, illustrating the utility of hospital resource management by accounting for a multiplicity of appropriate dynamics. Through this application, this apporoach demonstrates the tractability & efficiency of CTFGs by way like a decision-support apparatus for visualizing and prioritizing actions aimed at optimizing hospital resource management.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-29
DOI
https://doi.org/10.52783/jisem.v10i27s.4390
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Hospital Resource Management Using Complex t-Fuzzy Graph

Mohammed Alqahtani
Journal of Information Systems Engineering & Management
Cognitive Computing and Networks
article

Hospital Resource Management Using Complex t-Fuzzy Graph

Mohammed Alqahtani
article en

Abstract

This paper addresses an concept of Complex -fuzzy Graphs (CTFGs) effectively utilized for realization and visualizing intricate collaborations thus may be challenging for grasp. This highlights how CTFGs can typically make complex relationships that involve multiple apparatuses or scopes under a certain context. The paper covers a fundamental set operations of CTFGs, while exploring concepts of homomorphism & isomorphism under this outline. In addition, this study presents a real-time solicitation of CTFGs, illustrating the utility of hospital resource management by accounting for a multiplicity of appropriate dynamics. Through this application, this apporoach demonstrates the tractability & efficiency of CTFGs by way like a decision-support apparatus for visualizing and prioritizing actions aimed at optimizing hospital resource management.

Journal of Information Systems Engineering & ManagementVol. 10(27s)
Saudi Electronic University (SA)
Openalex Percentile: Top 97%
Cognitive Computing and Networks
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