A computer-based approach for data analyzing in hospital’s health-care waste management sector by developing an index using consensus-based fuzzy multi-criteria group decision-making models

2018 ◽  
Vol 118 ◽  
pp. 5-15 ◽  
Author(s):  
Mohammad Ali Baghapour ◽  
Mohammad Reza Shooshtarian ◽  
Mohammad Reza Javaheri ◽  
Sina Dehghanifard ◽  
Razieh Sefidkar ◽  
...  
2012 ◽  
Vol 263-266 ◽  
pp. 3225-3229
Author(s):  
Rong Duan ◽  
Qing Bang Han ◽  
Zuo Wang

In order to solve the problem of multi-attribute group-decision making with the elements of evaluation matrix are intuitionistic fuzzy sets, this paper offers corresponding TOPSIS models based on the information entropy weights and examples to be verified. The examples show the feasibility and effectiveness of the proposed models.


1972 ◽  
Vol 30 (2) ◽  
pp. 615-623 ◽  
Author(s):  
David G. Myers ◽  
Sidney J. Arenson

Much recent research indicates that discussion predictably affects responses to choice-dilemma items. In the present experiment, 12 choice-dilemma items were discussed to consensus by 40 female groups of varying size (2, 3, 5, or 7 members). Group size did not significantly affect shift scores. Over all groups, the mean of initial risk taking on an item was an excellent predictor of the mean amount of shift that item elicited ( r = –.89), a finding consistent with certain models of group decision making as well as with the idea that discussion arguments enhance dominant values. Further analyses of the present and past research indicated that the group decision making models could not account for the observed shifts.


1988 ◽  
Vol 20 (2) ◽  
pp. 115-146 ◽  
Author(s):  
Kenneth L. Kraemer ◽  
John Leslie King

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