Journal of Healthcare Engineering

Fuzzy-Based Multi-Criteria Decision-Making Methods in Healthcare


Publishing date
01 Apr 2022
Status
Closed
Submission deadline
19 Nov 2021

Lead Editor

1Near East University, Nicosia, Turkey

2Université Paris-Saclay, Paris, France

3University of Craiova, Craiova, Romania

4University of Medicine and Pharmacy of Craiova, Craiova, Romania

This issue is now closed for submissions.

Fuzzy-Based Multi-Criteria Decision-Making Methods in Healthcare

This issue is now closed for submissions.

Description

In real-life problems, there are many critical parameters that can directly or indirectly affect the consequences of different decisions. The application of multi-criteria decision-making theory involves the use of computational methods that incorporate several criteria and orders of preference in evaluating and selecting the best option among many alternatives based on the desired outcome. Multi-criteria decision-making (MCDM) theory is applied to different fields to obtain an optimum solution to a problem where there are many criteria to consider which cannot be decided by the users'/experts' experiences. The application gives a ranking result based on the selected criteria, their corresponding values, and assigned weights.

The application of MCDM in healthcare plays a crucial role in the current era of the field. The purpose of the analytical MCDM methods is to support decision makers under uncertainty and conflicting criteria while making logical decisions. These emerging technologies in medical applications will have benefits for researchers, physicians/clinicians, healthcare managers, and consultants.

This Special Issue aims to collate original research and review articles describing applications of MCDM methods in solving problems related to healthcare. The Issue will focus on assisting decision makers (government, organizations, companies, hospitals, general public, etc.) in making the best and most appropriate decision when confronted with multiple alternatives.

Potential topics include but are not limited to the following:

  • Fuzzy logic-based decision-making methods in healthcare
  • Multi-criteria decision-making applications for cancer treatment techniques
  • Multi-criteria decision-making applications for choosing medical devices
  • Multi-criteria decision-making for cancer diagnosis techniques
  • PROMETHEE, TOPSIS, ELECTRE, AHP, and VIKOR analysis for healthcare decision-making problems

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 7852806
  • - Research Article

Prioritizing and Overcoming Barriers to e-Health Use among Elderly People: Implementation of the Analytical Hierarchical Process (AHP)

Ayesha Mumtaz
  • Special Issue
  • - Volume 2022
  • - Article ID 4096950
  • - Research Article

COVID-19 Risk Prediction for Diabetic Patients Using Fuzzy Inference System and Machine Learning Approaches

Alok Aggarwal | Madam Chakradar | ... | Hatem AL-Dois
  • Special Issue
  • - Volume 2021
  • - Article ID 7302157
  • - Research Article

Application of Grey-Based SWARA and COPRAS Techniques in Disease Mortality Risk Assessment

Shazia Rehman | Nadia Rehman | ... | Zhang Jianglin
  • Special Issue
  • - Volume 2021
  • - Article ID 4832877
  • - Research Article

Applying the Fuzzy Analytic Hierarchy Process Method to Evaluate Key Indicators of Health Promotion Policies for the Elderly in Taiwan

Ling-Mei Hsu | Ji-Feng Ding
  • Special Issue
  • - Volume 2021
  • - Article ID 6866246
  • - Research Article

Socioeconomic Influence on Cardiac Mortality in the South Asian Region: New Perspectives from Grey Modeling and G-TOPSIS

Shazia Rehman | Erum Rehman | ... | Zhang Jianglin
  • Special Issue
  • - Volume 2021
  • - Article ID 1566834
  • - Research Article

The Efficiency of AuNPs in Cancer Cell Targeting Compared to Other Nanomedicine Technologies Using Fuzzy PROMETHEE

Safa Anmar Albarwary | Ayse Gunay Kibarer | ... | Dilber Uzun Ozsahin

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