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Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations
Wuyong Qian1, Zhou-Jing Wang2, Kevin W Li3,4
1School of Business, Jiangnan University, Wuxi 214122, China. qianyijiaemail@163.com.
International Journal of Environmental Research and Public Health
|September 13, 2016
Summary
Selecting the best medical waste disposal method is critical. This study introduces a new decision model using intuitionistic fuzzy logic and a novel cross-ratio scale to effectively evaluate disposal options for hazardous medical waste.
Area of Science:
- Environmental Science
- Operations Research
- Decision Science
Background:
- Medical waste poses significant risks due to infectious, radioactive, or hazardous components.
- Proper disposal of medical waste remains a complex challenge within urban waste management.
- Existing decision models may not fully capture the uncertainties inherent in medical waste disposal.
Purpose of the Study:
- To propose a novel two-level hierarchical multicriteria decision model for medical waste disposal method selection (MWDMS).
- To introduce new mathematical operations and comparison functions for cross-ratio-based intuitionistic fuzzy values.
- To develop a feasible and effective framework for selecting optimal medical waste disposal strategies.
Main Methods:
- Development of new operations for intuitionistic fuzzy values with cross-ratio based membership and non-membership information.
- Definition of score and accuracy functions for comparing ]0, 1[-valued intuitionistic fuzzy numbers.
- Introduction of a cross-ratio-based bipolar scale (0.1-0.9) for pairwise comparisons, analogous to Saaty's scale.
- Formulation of a two-level hierarchical structure for multicriteria decision problems involving intuitionistic preference relations.
Main Results:
- A novel approach for handling intuitionistic fuzzy preference relations in decision-making is presented.
- New functions and operations enable effective comparison and aggregation of specialized intuitionistic fuzzy values.
- The proposed model successfully addresses the complexities of medical waste disposal method selection.
- The framework demonstrates feasibility and effectiveness in a practical MWDMS application.
Conclusions:
- The developed two-level hierarchical multicriteria decision model offers a robust solution for medical waste disposal method selection.
- The novel intuitionistic fuzzy value operations and comparison methods enhance the analysis of complex decision problems.
- This research provides a valuable tool for optimizing medical waste management and mitigating associated risks.
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