An Interval Type-2 Fuzzy Similarity-Based MABAC Approach for Patient-Centered Care

Hu, Junhua; Chen, Panpan; Yan, Yang

doi:10.3390/math7020140

Cited by 17 publications

(7 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Case study Methodology Objective (Jia et al, 2019) China IFRS-MABAC Supplier selection for medical devices (Wei et al, 2019) China PLS-CRITIC-MABAC Supplier selection of medical consumption products (Liu et al, 2019) China IVIFS-FEMA-Entropy-MABAC Risk analysis of radiation therapy in health centres (Hu et al, 2019) China IVIFS-MABAC Selection of appropriate medical treatment for patient-centered care (Liu et al, 2020c) China BFS-SWARA-MABAC Risk assessment of occupational health and safety measurements (Büyüközkan et al, 2020) Turkey HFS-SWOT-AHP-MABAC Evaluation of health tourism strategies (Büyüközkan et al, 2020) -BWM-MABAC Facility procurement healthcare systems, including improving clinical outcomes, decreasing human errors, facilitating care coordination, utilizing developed equipment, improving practice efficiencies, and tracking data over time (Alotaibi and Federico, 2017). Patient safety improvement and the quality of healthcare delivery regarding the HIT concept have received considerable attention.…”

Section: Referencesmentioning

confidence: 99%

A Systematic Literature Review of MABAC Method and Applications: An Outlook for Sustainability and Circularity

Torkayesh¹,

Tirkolaee²,

Bahrini³

et al. 2023

Informatica

View full text Add to dashboard Cite

Multiple Criteria Decision-Making (MCDM) is one of the most reliable and applicable decision-making tools to address real-life complex and multi-dimensional problems in accordance with the concepts of sustainable development and circular economy. Although there have been several literature reviews on several MCDM methods, there is a research gap in conducting a literature review on the Multi-Attributive Border Approximation area Comparison (MABAC) as a useful technique to deal with intelligent decision-making systems. This study attempts to present a comprehensive literature review of 117 articles on recent developments and applications of MABAC. Future outlook is provided considering challenges and current trends.

show abstract

Section: Referencesmentioning

confidence: 99%

A Systematic Literature Review of MABAC Method and Applications: An Outlook for Sustainability and Circularity

Torkayesh¹,

Tirkolaee²,

Bahrini³

et al. 2023

Informatica

View full text Add to dashboard Cite

show abstract

“…The hybrid of fuzzy AHP method and fuzzy MABAC proposed in the selection of the locations for river crossing by tanks with a deep wading technique [46]. An interval type-2 fuzzy numbers similarity based MABAC presented by Hu et al [47] for selection of the suitable medical treatment under a patient-centered environment.…”

Section: Literature Reviewmentioning

confidence: 99%

A Border Approximation Area Approach Considering Bipolar Neutrosophic Linguistic Variable for Sustainable Energy Selection

2020

View full text Add to dashboard Cite

In the last few decades, the computational methods under Multi-Criteria Decision-Making (MCDM) have experienced significant growth in research interests from various scientific communities. Multi-Attributive Border Approximation area Comparison (MABAC) is one of the MCDM methods where its computation procedures are based on distances and areas, and able to express a complex decision systematically. Previous literature have suggested the combination of MABAC with fuzzy sets, in which this combination is used to solve problems that are characterized by uncertain and incomplete information. Differently from the fuzzy MABAC, which directly used single membership, this paper proposes bipolar neutrosophic MABAC of which the positive and negative of truth, indeterminate and false memberships of bipolar neutrosophic set are introduced to enhance decision in sustainable energy selection. Fourteen criteria and seven alternatives of sustainable energy are the main MCDM structures that need to be solved using the proposed method. A group of experts were invited to provide rating of performance values of criteria and alternatives of sustainable energy problem using a bipolar neutrosophic linguistic scale. The distances of alternatives from the Border Approximation Area of bipolar neutrosophic MABAC are the main output of the proposed method prior to making the final decision. The computational results show that ‘Biomass’ is the optimal alternative to sustainable energy selection. Comparable results are also presented to check the consistency of the proposed method.

show abstract

“…When conversion does not happen, the blood glucose level increases and it can reach a dangerous level. The patients with this condition should always inject insulin to stay alive [1,2].…”

Section: Introductionmentioning

confidence: 99%

Generalized Type-2 Fuzzy Control for Type-I Diabetes: Analytical Robust System

et al. 2022

View full text Add to dashboard Cite

The insulin injection rate in type-I diabetic patients is a complex control problem. The mathematical dynamics for the insulin/glucose metabolism can be different for various patients who undertake different activities, have different lifestyles, and have other illnesses. In this study, a robust regulation system on the basis of generalized type-2 (GT2) fuzzy-logic systems (FLSs) is designed for the regulation of the blood glucose level. Unlike previous studies, the dynamics of glucose–insulin are unknown under high levels of uncertainty. The insulin-glucose metabolism has been identified online by GT2-FLSs, considering the stability criteria. The learning scheme was designed based on the Lyapunov approach. In other words, the GT2-FLSs are learned using adaptation rules that are concluded from the stability theorem. The effect of the dynamic estimation error and other perturbations, such as patient activeness, were eliminated through the designed adaptive fuzzy compensator. The adaptation laws for control parameters, GT2-FLS rule parameters, and the designed compensator were obtained by using the Lyapunov stability theorem. The feasibility and accuracy of the designed control scheme was examined on a modified Bergman model of some patients under different conditions. The simulation results confirm that the suggested controller has excellent performance under various conditions.

show abstract

An Interval Type-2 Fuzzy Similarity-Based MABAC Approach for Patient-Centered Care

Cited by 17 publications

References 51 publications

A Systematic Literature Review of MABAC Method and Applications: An Outlook for Sustainability and Circularity

A Systematic Literature Review of MABAC Method and Applications: An Outlook for Sustainability and Circularity

A Border Approximation Area Approach Considering Bipolar Neutrosophic Linguistic Variable for Sustainable Energy Selection

Generalized Type-2 Fuzzy Control for Type-I Diabetes: Analytical Robust System

Contact Info

Product

Resources

About