A novel Fractional fuzzy approach for multi-criteria decision-making in medical waste management
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a new fuzzy set model for medical waste management (MWM) decision-making. The f, g, h-fractional fuzzy set approach enhances existing methods for selecting safe and sustainable MWM technologies.
Area Of Science
- Environmental Science
- Operations Research
- Public Health
Background
- Increasing urban populations and healthcare demands necessitate effective medical waste management (MWM).
- Selecting appropriate MWM technologies presents a significant challenge due to complexity and uncertainty.
- Existing multi-criteria decision-making (MCDM) methods using traditional fuzzy sets have limitations in handling membership values.
Purpose Of The Study
- To introduce a novel MCDM model based on f, g, h-fractional fuzzy sets (f, g, h-FrFS) for evaluating MWM technologies.
- To develop new distance measures (Hamming and normalized Hamming) within the f, g, h-FrFS framework.
- To propose an enhanced CRITIC method for criteria weighting and a new distance-based TOPSIS method for ranking MWM technologies.
Main Methods
- Development of an f, g, h-FrFS based MCDM framework.
- Introduction of f, g, h-FrFS Hamming and normalized Hamming distances.
- Application of an improved CRITIC method for criteria weighting.
- Utilization of a novel distance-based TOPSIS method for technology evaluation and ranking.
- Conducting sensitivity analysis to ensure model robustness.
Main Results
- A comprehensive MCDM framework, f, g, h-FrF-CRITIC-TOPSIS, was developed for evaluating MWM technologies.
- The proposed model effectively handles uncertainty and complexity in decision-making.
- Sensitivity analysis confirmed the stability and robustness of the developed framework.
- Comparative studies validated the framework's effectiveness and alignment with real-world scenarios.
Conclusions
- The f, g, h-FrF-CRITIC-TOPSIS framework offers a valuable tool for selecting sustainable MWM technologies.
- This methodology provides significant support for policymakers and healthcare organizations in managing medical waste.
- The approach is particularly effective in uncertain environments, aiding complex decision-making processes in medical systems.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
Identify the ethical problem and dilemma: Begin by recognizing the presence of an ethical issue. An ethical dilemma arises when conflicting moral principles or values necessitate choosing between two or more equally...
Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...