Abstract
The design tries to solve the problem of low pass rate of platinum wire production and the waste of platinum in company. The paper uses multiobjective decision system fuzzy optimization theory to analyze five parameters, which are tensile strength, ductility, fracture load, filling aperture, and resistance. Besides, MATLAB software is used to write programs and calculate. To sum up the above analysis, the weight vector of five parameters is obtained and that can be used to determine which parameter has the greatest influence on the pass rate of the wire winding process.
Highlights
Journal of Control Science and Engineering value is, the higher the rank of the clustering category will be
We use multiobjective decision system fuzzy optimization theory to analyze the parameters in the wire winding process, which are tensile value, elongation value, breaking load, cast
It is concluded that the tensile strength parameter has the greatest influence on the pass rate of the wire winding process
Summary
The second is negative indicator, which just means the smaller the indicator feature value is, the higher the rank of the clustering category will be [8]. In (8), a is a variable optimization criterion parameter; when a = 1, the meaning of the objective function (8) is the cluster sample set n’s first-order power sum minimum to uhjdhj. When a = 2, the meaning of the objective function (8) is the cluster sample set n’s second power sum minimum to uhjdhj,n. It is significant for the variable fuzzy sets theory to extend the least-absolute criteria and the least-squares criteria to uhjdhj’s sum minimum and dhj’s sum of square minimum in the classic mathematics. The index weight vector w is a variable parameter according to the practical problems in the variable fuzzy set theory
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