Generalized OWA operators for uncertain queuing modeling with application in healthcare

The weighted averaging operators are one of the popular methods for aggregating information. In recent years, ordered weighted averaging operators (OWA) have attained a great attention by researchers. These OWA operators due to their versatility are very useful to model many real world situations. S...

Full description

Saved in:
Bibliographic Details
Published in:Soft computing (Berlin, Germany) Germany), 2021-03, Vol.25 (6), p.4951-4962
Main Authors: Ahmad, Shafiq, Alnowibet, Khalid, Alqasem, Latifah, Merigo, Jose M., Zaindin, Mazen
Format: Article
Language:English
Subjects:
Artificial Intelligence
Bibliometrics
Computational Intelligence
Control
Customer satisfaction
Customer services
Decision making
Emergency medical care
Emergency medical services
Emergency procedures
Engineering
Health care
Mathematical Logic and Foundations
Mechatronics
Methodologies and Application
Modelling
Operating costs
Operators
Queuing
Queuing theory
Robotics
Uncertainty
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The weighted averaging operators are one of the popular methods for aggregating information. In recent years, ordered weighted averaging operators (OWA) have attained a great attention by researchers. These OWA operators due to their versatility are very useful to model many real world situations. Several extensions of OWA operators are presented in the literature which can handle a situation with uncertainty. Although many queuing models have been proposed in numerous healthcare studies, the inclusion of OWA operators is still rare. In this research study, we propose a novel method using the uncertain generalized ordered weighted average and illustrate its application to the uncertain queue modeling in a hospital emergency room; where incoming flux of patients and the required level of service for each patient is unknown and uncertain. The model with multilateral decision making process has been described which will provide several alternatives to decision makers to select the best alternative for their challenging situations. The proposed method has resulted an improved performance of the queuing system, increased customer satisfaction as well as a significant reduction in the operational cost. This study will enable decision makers to operate a flexible and cost-effective system in the event of uncertainty, uncontrollable and unpredicted situations.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-020-05507-1