An extended QUALIFLEX method combined hesitant fuzzy linguistic term sets with prospect theory for medical waste disposal method selection

Author(s):  
Hui Li
Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 370
Author(s):  
Shuangsheng Wu ◽  
Jie Lin ◽  
Zhenyu Zhang ◽  
Yushu Yang

The fuzzy clustering algorithm has become a research hotspot in many fields because of its better clustering effect and data expression ability. However, little research focuses on the clustering of hesitant fuzzy linguistic term sets (HFLTSs). To fill in the research gaps, we extend the data type of clustering to hesitant fuzzy linguistic information. A kind of hesitant fuzzy linguistic agglomerative hierarchical clustering algorithm is proposed. Furthermore, we propose a hesitant fuzzy linguistic Boole matrix clustering algorithm and compare the two clustering algorithms. The proposed clustering algorithms are applied in the field of judicial execution, which provides decision support for the executive judge to determine the focus of the investigation and the control. A clustering example verifies the clustering algorithm’s effectiveness in the context of hesitant fuzzy linguistic decision information.


2015 ◽  
Vol 811 ◽  
pp. 378-382
Author(s):  
Mihaela Debita ◽  
Carmina Liana Musat ◽  
Madalina Rus ◽  
Elena Mereuta ◽  
Claudiu Mereuta

The paper presents some technical considerations regarding the medical waste transportation and an optimization calculus for minimizing the transportation costs of a company specialized and authorized in collecting, transporting and final disposal of medical waste generated by healthcare facilities. The calculus revealed that it is possible to significantly reduce the transportation costs (up to 65.52%), but there are also other analysis possibilities like considering the in-between points from sources to destinations, alternative paths, limits to the amount of medical waste on each path, time.


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