Fuzzy comprehensive evaluation-based distribution automation terminal state evaluation method and system
A technology of fuzzy comprehensive evaluation and distribution automation, which is applied in information technology support systems, instruments, data processing applications, etc., and can solve problems such as strong subjectivity
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Embodiment 1
[0084] see figure 1 , the steps of the distribution automation terminal state evaluation method based on fuzzy comprehensive evaluation in this embodiment include:
[0085] 1) Detect and determine the state quantity of the distribution automation terminal;
[0086] 2) Establish a distribution automation terminal state evaluation system based on the state quantities of the distribution automation terminals, and the distribution automation terminal state evaluation system is a hierarchical structure model composed of corresponding indicators of the state quantities;
[0087] 3) Determine the weight set W of the indicators corresponding to each state quantity in the state evaluation system;
[0088] 4) Set the state evaluation set V including each state level of the distribution automation terminal;
[0089] 5) Calculate the fuzzy membership function of each state level of the distribution automation terminal corresponding to each state quantity, and construct the fuzzy compreh...
Embodiment 2
[0170] This embodiment is basically the same as Embodiment 1, and the main difference is that in step 3) the method of determining the weight set W of each index corresponding to each state quantity in the state evaluation system is different. This embodiment specifically adopts step 3.1) of Embodiment 1 alone, and uses the analytic hierarchy process to determine the weight ω of each state quantity corresponding index in the state evaluation system i , the weight ω of each state quantity corresponding to the index i The composed weight set is used as the weight set W of the indicators corresponding to each state quantity in the state evaluation system.
Embodiment 3
[0172] This embodiment is basically the same as Embodiment 1, and the main difference is that in step 3) the method of determining the weight set W of each index corresponding to each state quantity in the state evaluation system is different. This embodiment specifically adopts step 3.2) of Embodiment 1 alone, and adopts the entropy weight method to determine the weight ω of each state quantity corresponding index in the state evaluation system si , the weight ω of each state quantity corresponding to the indicator si The composed weight set is used as the weight set W of the indicators corresponding to each state quantity in the state evaluation system.
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