A FUZZY CLUSTERING ALGORITHM FOR THE CLASSIFICATION OF NON-LINEAR FUNCTIONAL BEHAVIORS IN NUCLEAR REPROCESSING PLANTS

Author(s):  
P. BARALDI ◽  
F. CADINI ◽  
E. ZIO ◽  
I. C. POPESCU ◽  
P. RICHIR ◽  
...  
2013 ◽  
Vol 401-403 ◽  
pp. 1353-1357
Author(s):  
Wu Di Wen ◽  
Zhong Le Liu ◽  
Zhi Qiang Zhang

Magnetic field data of ship has three-component,and traditional weighted fuzzy clustering algorithm(FCA) can’t deal with the three-component data. We improve the traditional FCA by changing the objective function and added weights calculation of three-component of magnetic field in the function.Give the equation to compute the weights of three-component.Put forward new steps for improved algorithm.Use ships’ data to test the improved algorithm and giving the conclusion.


1989 ◽  
Vol 54 (10) ◽  
pp. 2692-2710 ◽  
Author(s):  
František Babinec ◽  
Mirko Dohnal

The problem of transformation of data on the reliability of chemical equipment obtained in particular conditions to other equipment in other conditions is treated. A fuzzy clustering algorithm is defined for this problem. The method is illustrated on a case study.


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