Intelligent reduction methods based upon fuzzy set theory as a helpful tool for controlling industrial plants

1992 ◽  
Vol 50 (2) ◽  
pp. 119-125 ◽  
Author(s):  
B. Cappelle ◽  
G. De Cooman ◽  
E.E. Kerre ◽  
F.R. Vanmassenhove
2013 ◽  
Vol 12 (6) ◽  
pp. 785-820 ◽  
Author(s):  
Mario Quaranta

AbstractThe quantity-quality debate in social sciences also concerns concept formation and operationalization. The first approach has strong naturalist assumptions, while the second one focuses on the historical specificity of concepts. The solution to overcome this divide would be finding a path which balances the two perspectives. In this article we argue that fuzzy set theory can be a helpful tool for concept formation and operationalization. The application of fuzzy set theory to concept formation and operationalization provides, first, the opportunity of looking at concepts as complex constructs made up of attributes logically interconnected one with the other and, second, of measuring them accordingly. Thus, after presenting our general argument, we show a theoretical and an empirical application of how to use fuzzy sets in concept formation and operationalization.


2002 ◽  
Vol 13 (7-8) ◽  
pp. 589-595 ◽  
Author(s):  
Irina Ioannou ◽  
Nathalie Perrot ◽  
Joseph Hossenlopp ◽  
Gilles Mauris ◽  
Gilles Trystram

2020 ◽  
Vol 265 ◽  
pp. 121779 ◽  
Author(s):  
Luiz Maurício Furtado Maués ◽  
Brisa do Mar Oliveira do Nascimento ◽  
Weisheng Lu ◽  
Fan Xue

2020 ◽  
Vol 38 (4) ◽  
pp. 3971-3979
Author(s):  
Yana Yuan ◽  
Huaqi Chai

1990 ◽  
Vol 33 (1) ◽  
pp. 0306-0313 ◽  
Author(s):  
X. Q. Gui ◽  
C. E. Goering

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