Unmanned aerial vehicle control system operation performance evaluating method based on intuitionistic fuzzy entropy weight
An unmanned aerial vehicle, intuitionally ambiguous technology, applied in instruments, data processing applications, computing, etc., can solve problems such as affecting the scientificity and rationality of assessment results, reducing the credibility and practicability of assessment results, etc.
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[0056] There are 4 systems in an unmanned aerial vehicle control system operation performance evaluation, and 4 evaluation indicators are selected at the same time; among them, indicators 1 and 2 are benefit indicators, indicators 3 and 4 are cost indicators; and 3 time periods Table 1 shows the system index information data in each time period.
[0057] Table 1 Information data of each system index in each time period
[0058]
[0059] According to steps 2, 3, and 4, the index weights of each time period are calculated as:
[0060] ω(t 1 )=(0.265380,0.219047,0.168426,0.347148)
[0061] ω(t 2 )=(0.263363,0.206387,0.249882,0.280368)
[0062] ω(t 3 )=(0.325412,0.215782,0.234099,0.224707)
[0063] Calculate each system t according to step 5 k The weighted intuitionistic fuzzy decision matrix for the time period is:
[0064] R ( t 1 ) = ...
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