Publications by authors named "Jian-Xin You"
Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method.
Int J Environ Res Public Health
June 2016
Article Synopsis
- Health-care waste management is a significant problem in municipalities, especially in developing cities, requiring complex decision-making to choose the best treatment technology.
- The study introduces a new hybrid decision-making approach called interval 2-tuple induced TOPSIS (ITI-TOPSIS) that combines different assessment techniques to handle varying opinions and information uncertainties from decision makers.
- An example from Shanghai demonstrates the effectiveness of ITI-TOPSIS in selecting optimal health-care waste disposal methods, showcasing its ability to address the complexities involved in the decision-making process.
Fuzzy Petri nets (FPNs) are an important modeling tool for knowledge representation and reasoning, which have been extensively used in a lot of fields. However, the conventional FPN models have been criticized as having many shortcomings in the literature. Many different models have been suggested to enhance the performance of FPNs, but deficiencies still exist in these models.
View Article and Find Full Text PDFThe management of health-care waste (HCW) is a major challenge for municipalities, particularly in the cities of developing countries. Selection of the best treatment technology for HCW can be viewed as a complicated multi-criteria decision making (MCDM) problem which requires consideration of a number of alternatives and conflicting evaluation criteria. Additionally, decision makers often use different linguistic term sets to express their assessments because of their different backgrounds and preferences, some of which may be imprecise, uncertain and incomplete.
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